Program (List)

Sunday, July 2nd – Registration

  • 7:00am-5pm – Zurich Registration Booth

Sunday, July 2nd – Tutorials

  • 8:30am-10:20am
    • SM1: Evolutionary Algorithms and Hyper-Heuristics, in Zurich A
      • Nelishia Pillay
    • SM2: How to Compare Evolutionary Multi-bjective Optimization Algorithms: Parameter Specifications, Indicators and Test Problems, in Zurich B
      • Lie Meng Pang, Ke Shang, Hisao Ishibuchi
    • SM3: Pareto Optimization for Subset Selection: Theories and Practical Algorithms, in Zurich C*
      • Chao Qian
    • SM4: Foundations and Recent Advances on Natural Evolution Strategies, in Zurich E
      • Masahiro Nomura, Isao Ono
    • SM5: Evolutionary Multi-objective Optimization: Past, Present and Future, in Zurich F
      • Kalyanmoy Deb
  • 10:20am-10:40am Morning Tea
  • 10:40am-12:30pm
    • SM6: Transfer Learning in Evolutionary Spaces, in Zurich A
      • Nelishia Pillay
    • SM7: Statistical Analyses for Single-Objective Stochastic Optimization Algorithms, in Zurich B
      • Tome Eftimov, Peter Korošec
    • SM8: Decomposition Multi-Objective Optimization: Current Developments and Future Opportunities, in Zurich C
      • Ke Li
    • SM9: Evolutionary Diversity Optimisation for Combinatorial Optimisation, in Zurich E
      • Aneta Neumann, Frank Neumann
    • SM10: Quality indicators for multi-objective optimization: performance assessment and algorithm design (Part 1), in Zurich F
      • Jesús Guillermo Falcón-Cardona, Ke Shang, and Víctor Adrián Hernández Sosa
  • 12:30pm-2:00pm Lunch in Lucerne
  • 2:00pm-3:50pm
    • SA1: Benchmarking and analyzing iterative optimization heuristics with IOH profiler, in Zurich A
      • Diederick Vermetten, Furong Ye, Jacob de Nobel, Hao Wang, Carola Doerr, Thomas Bäck
    • SA2: Evolutionary Computation Success in Medical Diagnosis, in Zurich B*
      • Qurrat Ul Ain
    • SA3: Evolutionary Feature Reduction for Machine Learning, in Zurich C*
      • Bach (Hoai) Nguyen, Bing Xue, Mengjie Zhang
    • SA4: Evolutionary Deep-Learning for Image Classification: A Genetic Programming Approach, in Zurich E*
      • Ying Bi, Bing Xue, Mengjie Zhang
    • SA5: Quality indicators for multi-objective optimization: performance assessment and algorithm design (Part 2), in Zurich F
      • Jesús Guillermo Falcón-Cardona, Ke Shang, and Víctor Adrián Hernández Sosa
  • 3:50pm-4:10pm Afternoon Tea
  • 4:10pm-6:00pm
    • SA6: Embedding Knowledge into Optimization Processes, in Zurich A
      • Amir H. Gandomi
    • SA7: Principle and Applications of Semantic GP, in Zurich B*
      • Qi Chen, Bing Xue,
    • SA8: Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-objective Optimization Using Reference Points, in Zurich C
      • Ke Li
    • SA9: Genetic Programming and Machine Learning for Scheduling, in Zurich E*
      • Fangfang Zhang, Mengjie Zhang, Yi Mei, Su Nguyen

Sunday, July 2nd – Competitions

Sunday, July 2nd – Reception

  • Reception Session Chair: Gui DeSouza and Gary Yen (General Co-Chairs)
    Sunday, July 2, 2023 at 6:00:00 PM CDT – Sunday, July 2, 2023 at 8:00:00 PM CDT in Eleve Ballroom

Monday, July 3rd

  • Plenary 1 Session Chair: Jim Keller, Monday,
    July 3, 2023 at 9:00:00 AM CDT – Monday, July 3, 2023 at 10:00:00 AM CDT in Zurich D
    • Pioneer Award and CEC 2023 (60m)
      • Stephanie Forrest
  • MM Short Break
    Monday, July 3, 2023 at 10:00:00 AM CDT – Monday, July 3, 2023 at 10:10:00 AM CDT in Zurich Foyer
  • MM1 SS: Adaptive Swarm
    Session Chair: Alanna McNulty
    Monday, July 3, 2023 at 10:10:00 AM CDT – Monday, July 3, 2023 at 10:50:00 AM CDT Zurich A
    • A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning (20m)
      • Liam McDevitt (Brock University) 
      • Kyle Harrison (University of Newcastle) 
      • Beatrice Ombuki-Berman (Brock University )
    • Behavioural Swarm Optimisation for Stable Slung-load Aerial Transportation (20m)
      • Jingyu Chen (University of Sheffield) 
      • John Oyekan (The University of Sheffield)
  • MM2 SS: Evolutionary Computation for Music, Art, and Creativity
    Session Chairs: Chuan-Kang Ting and Seyed Mohamad Ali Tousi
    Monday, July 3, 2023 at 10:10:00 AM CDT – Monday, July 3, 2023 at 10:50:00 AM CDT Zurich B
    • Investigating Style Forming and Twisting by Adapting AntsOMG for Composing Second Species Counterpoint (20m)
      • CHUN-YIEN CHANG (National Yang Ming Chiao Tung University) 
      • Ying-ping Chen (National Yang Ming Chiao Tung University)
    • A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation (20m)
      • Phoenix Williams (University of Exeter) 
      • Ke Li (University of Exeter) 
      • Prof.Geyong Min (University Of Exeter)
  • MM3 Evolved Neural Networks
    Session Chair: Derek Anderson
    Monday, July 3, 2023 at 10:10:00 AM CDT – Monday, July 3, 2023 at 10:50:00 AM CDT Zurich C
    • An Alternative Pareto-based Approach to Multi-objective Neural Architecture Search (20m)
      • Meyssa Zouambi (Université de Lille)
    • A Long Short-term Memory Prediction-based Dynamic Multi-objective Evolutionary Optimization Algorithm ()
      • Gejie Rang (Shantou University) 
      • Wenji Li (Shantou University) 
      • Zhun Fan (Shantou University)
  • MM4 EvC in Control
    Session Chairs:  Tanja Katharina Kaiser and Ramy Farag
    Monday, July 3, 2023 at 10:10:00 AM CDT – Monday, July 3, 2023 at 10:50:00 AM CDT Zurich E
    • Multi-Objective Grouped Grey Wolf Optimization of PID Controllers Applied to a Water Treatment Plant Model (20m)
      • Viviana Mariani (PUCPR) 
      • Leandro Coelho (PUCPR)
    • Manta Ray Foraging Optimization Approaches on Multivariable PID Controller Tuning (20m)
      • Viviana Mariani (PUCPR) 
      • Leandro Coelho (PUCPR)
  • MM Coffee Break Session Chair: N/A Monday, July 3, 2023 at 10:50:00 AM CDT – Monday, July 3, 2023 at 11:10:00 AM CDT in Zurich Foyer
  • MM5 SS: Advances in Decomposition-based Evolutionary Multi-objective Optimization (ADEMO)
    Session Chairs: Saul ZapotecasMartinez and Fei Li
    Monday, July 3, 2023 at 11:10:00 AM CDT – Monday, July 3, 2023 at 12:10:00 PM CDT Zurich A
    • Exact Formulas for the Computation of Expected Tchebycheff Improvement (20m)
      • Liang ZHAO (City University of Hong Kong) 
      • Qingfu Zhang (City University of Hong Kong)
    • A Many-objective Evolutionary Algorithm Based on Hybrid Dynamic Decomposition (20m)
      • Chunlei Li (Harbin Institute of Technology) 
      • Libao Deng (Harbin Institute of Technology) 
      • Wenyin Gong (China University of Geosciences)
    • Multi-objective Coordinate Search Optimization (20m)
      • Azam Asilian Bidgoli (Laurentian University) 
      • Mehran Ebrahimi (Ontario Tech University) 
      • Shahryar Rahnamayan (Ontario Tech University)
  • MM6 SS: Automated Algorithm Design for Evolutionary Computation & Evolutionary Computation for Automated Design of Machine Learning and Search
    Session Chair: Ivan Amaya and Jorge Cruz Duarte
    Monday, July 3, 2023 at 11:10:00 AM CDT – Monday, July 3, 2023 at 12:10:00 PM CDT Zurich B
    • When Simpler is Better: Automated Configuration of a University Timetabling Solver (20m)
      • Thomas Feutrier (CRIStAL, University of Lille) 
      • Nadarajen Veerapen (University of Lille) 
      • Marie-Eléonore Kessaci (University of Lille)
    • Sensitivity analysis of RF+clust for leave-one-problem-out performance prediction (20m)
      • Ana Nikolikj (Institut Jozef Stefan) 
      • Michal Pluhacek (Tomas Bata University in Zlin, Faculty of Applied Informatics) 
      • Carola Doerr (Sorbonne University) 
      • Peter Korosec (Jozef Stefan Institute) 
      • Tome Eftimov (Jozef Stefan Institute)
    • Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment (20m)
      • Nikolay Nikitin (ITMO University) 
      • Denis Nasonov (ITMO University)
  • MM7 J2C: Journal to Conference
    Session Chair: Gary Yen  
    Monday, July 3, 2023 at 11:10:00 AM CDT – Monday, July 3, 2023 at 12:10:00 PM CDT Zurich C
    • Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of  Gigapixel Pathology Images, in IEEE Transactions on Evolutionary Computation, Vol. 27, No. 1, February 2023, pp. 52-66 (20m)
      • Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, and Hamid R. Tizhoosh 
    • Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation, in IEEE Transactions on Evolutionary Computation, Vol. 27, No. 1, February 2023, pp. 126-140 (20m)
      • Ke Li and Renzhi Chen 
    • Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer, in IEEE Transactions on Evolutionary Computation, Vol. 27, No. 1, February 2023, pp. 155-169
      • Xianpeng Wang, Zhiming Dong, Lixin Tang, and Qingfu Zhang    
  • MM8 SS: Evolutionary Computation for Feature Selection, Extraction and Dimensionality Reduction
    Session Chair: Parth Upadhyay 
    Monday, July 3, 2023 at 11:10:01 AM CDT – Monday, July 3, 2023 at 12:10:01 PM CDT Zurich E
    • Solving the Discretization-based Feature Construction Problem using Bi-level Evolutionary Optimization (20m)
      • Rihab Said (SMART lab, University of Tunis, ISG-Campus, Tunis, Tunisia) 
      • Slim Bechikh (SMART lab, University of Tunis, ISG-Campus, Tunis, Tunisia) 
      • Carlos Coello Coello (CINVESTAV-IPN) 
      • Lamjed Ben Said (SOIE Laboratory, High Institute of Management, Tunisia)
    • Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection (20m)
      • Gabriel Dominico (UFRGS) 
      • Leonardo da Luz Dorneles (Federal University of Rio Grande do Sul) 
      • Marcio Dorn (Federal University of Rio Grande do Sul)
    • Evolutionary Multitasking Bi-Directional Particle Swarm Optimization for High-Dimensional Feature Selection (20m)
      • Hua Wang (Victoria University, Melbourne) 
      • Jun Zhang (Hanyang University) 
      • Zhi-Hui Zhan (South China University of Technology )
  • Mon Lunch
    Monday, July 3, 2023 at 12:10:00 PM CDT – Monday, July 3, 2023 at 2:00:00 PM CDT in Lucerne
  • MA1 SS: Large-Scale Multi-Objective Optimization
    Session Chairs: Borko Boskovic and Kalyanmoy Deb
    Monday, July 3, 2023 at 2:00:00 PM CDT – Monday, July 3, 2023 at 3:40:00 PM CDT Zurich A
    • Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms (20m)
      • Handing Wang (Xidian University) 
      • Yaochu Jin (Bielefeld University)
    • A Sparsity-Guided Elitism Co-Evolutionary Framework for Sparse Large-Scale Multi-Objective Optimization (20m)
      • chengming wu (Anhui University) 
      • Ye Tian (Anhui University) 
      • Xingyi Zhang (Anhui University)
    • Optimizing Large-Scale Distribution Center Locations During the COVID-19 Quarantine (20m)
      • Luchen Wang (Anhui University) 
      • Ye Tian (Anhui University) 
      • Xiaoshu Xiang (Anhui University) 
      • Xingyi Zhang (Anhui University)
    • Modified Robust Optimization Over Time for Process Parameter Optimization in Pre-Oxidation Process of Carbon Fiber Production ()
      • Yilin Fang (Wuhan University of Technology)
      • Ziheng Zhao (Wuhan University of Technology)
      • Liang Jin (Wuhan University of Technology)
      • Kunlun Li (Wuhan University of Technology)
    • Applying Multi-Fidelity Optimization for Process Parameter Optimization in Polymerization Process of Carbon Fiber Production ()
      • Liang Jin (Wuhan University of Technology)
      • Xinwei Lu (Wuhan University of Technology)
      • Yilin Fang (Wuhan University of Technology)
      • Kunlun Li (Wuhan University of Technology)
  • MA2 SS: Quantum Artificial Intelligence
    Session Chair: Zakaria Abdelmoiz DAHI
    Monday, July 3, 2023 at 2:00:00 PM CDT – Monday, July 3, 2023 at 3:40:00 PM CDT Zurich B
    • On the Effect of Quantum Noise in Quantum Genetic Algorithms (20m)
      • Giovanni Acampora (University of Naples Federico II) 
      • Roberto Schiattarella (University of Naples Federico II)
    • A Comparison of Evolutionary Algorithms for Training Variational Quantum Classifiers (20m)
      • Giovanni Acampora (University of Naples Federico II) 
      • Angela Chiatto (University of Naples Federico II) 
      • Autilia Vitiello (University of Naples Federico II)
    • A Competent Memetic Algorithm for Error Mitigation in Quantum Measurement (20m)
      • Giovanni Acampora (University of Naples Federico II) 
      • Autilia Vitiello (University of Naples Federico II)
    • Trend Ratio-based Portfolio Optimization Model Adopting Entanglement-enhanced Quantum-inspired Evolutionary Computation in the Global Financial Markets (20m)
      • Yu-Chi Jiang (National Taiwan University) 
      • Ming-Ho Chang (National Chi Nan University) 
      • Yu-Yu Chang (National Chi Nan University) 
      • Kun-Min Wu (National Chi Nan University) 
      • Po-Chun Chen (National Chi Nan University) 
      • Yong Feng Tong (National Chi Nan University) 
      • Yun-Ting Lai (National Chi Nan University) 
      • Shu-Yu Kuo (National Taiwan University) 
      • Yao-Hsin Chou (National Chi Nan University)
    • Multi-qubit Bacterial Foraging Optimization Based Pilot Assignment and Access Point Selection in Cell-Free Massive MIMO (20m)
      • Geng Chenyu (Chenyu Geng) 
      • Yan Zhiwei (Nanjing University of Posts and Telecommunications) 
      • Caiyun Zhu (Caiyun Zhu) 
      • Wei JI (Nanjing University of Posts and Telecommunications) 
      • Li Fei (Nanjing University of Posts and Telecommunications)
  • MA3 Large-scale problems
    Session Chairs: Diego Oliva and Jyotheesh Gaddam
    Monday, July 3, 2023 at 2:00:00 PM CDT – Monday, July 3, 2023 at 3:40:00 PM CDT Zurich C
    • An Elite-Guided Evolutionary Algorithm for Large-Scale Multi-Objective Optimization (20m)
      • Xiangzhou Gao (Harbin Institute of Technology)
    • Block Differential Evolution (20m)
      • Rasa Khosrowshahli (Ontario Tech University)
    • A Novel Cooperative Co-evolutionary Framework for Large-scale Overlapping Problems (20m)
      • Mingke Chen (East China University Of Science and Technology)
    • Utilizing Innovization to Solve Large-scale Multi-objective Chesapeake Bay Watershed Problem (20m)
      • Gregorio Toscano (Michigan State University) 
      • Kalyanmoy Deb (“Michigan State University, East Lansing, USA”)
    • Adjacent Intensity Matrix with Linkage Identification for Large-scale Optimization in noisy environments ()
      • Rui Zhong (Hokkaido University)
      • Masaharu Munetomo (Hokkaido University)
  • MA4 SS: Evolutionary Scheduling
    Session Chairs: Efren Mezura-Montes and Frank Neumann
    Monday, July 3, 2023 at 2:00:00 PM CDT – Monday, July 3, 2023 at 3:40:00 PM CDT Zurich E
    • Transposition Point Optimization for Voltage Unbalance Mitigation in Electric Power Distribution Systems by Integer Form of Population-Based Incremental Learning (20m)
      • Yuto Kobayashi (Meiji University) 
      • Yoshikazu Fukuyama (Meiji University)
    • Multi-Objective Optimization of Critical Node Detection Based on Both Cascading and Non-cascading Scenarios in Complex Networks (20m)
      • Xinyi Feng (Anhui University) 
      • Haipeng Yang (Anhui University) 
      • Lei Zhang (Anhui University)
    • Recursive Hyper-heuristics for the Job Shop Scheduling Problem (20m)
      • Jorge Cruz-Duarte (Tecnológico de Monterrey) 
      • José Carlos Ortiz-Bayliss (Tecnologico de Monterrey) 
      • Ivan Amaya (Tecnologico de Monterrey)
    • Interpretability-Aware Multi-Objective Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling (20m)
      • Fangfang Zhang (Victoria University of Wellington) 
      • Yi Mei (Victoria University of Wellington)
    • An Efficient Multitasking Ant Colony Optimization Framework ()
      • Wei-Li Liu (Guangdong Polytechnic Normal University)
      • Jinghui Zhong (South China University of Technology)
      • Ting Huang (Xidian University)
      • Zhiyong Lin ( Guangdong Polytechnic Normal University)
  • MA Coffee Break Session Chair: N/A Monday, July 3, 2023 at 3:40:00 PM CDT – Monday, July 3, 2023 at 4:00:00 PM CDT in Zurich Foyer
  • MA5 Discrete and Combinatorial Optimization & Evolutionary Strategies
    Session Chairs: Hisao Ishibuchi and Weili Liu
    Monday, July 3, 2023 at 4:00:00 PM CDT – Monday, July 3, 2023 at 5:40:00 PM CDT Zurich A
    • Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler (20m)
      • Frank Neumann (The University of Adelaide, School of Computer Science, Faculty of Engineering, Computer and Mathematical Science) 
      • Aneta Neumann (The University of Adelaide) 
      • Chao Qian (Nanjing University) 
      • Anh Do (The University of Adelaide) 
      • Jacob de Nobel (University Leiden ) 
      • Diederick Vermetten (Leiden Institute for Advanced Computer Science) 
      • Saba Sadeghi Ahouei (University of Adelaide) 
      • Furong Ye (Leiden University) 
      • Hao Wang (University Leiden) 
      • Thomas Bäck (University Leiden)
    • The Natural Bias of Artificial Instances (20m)
      • Imanol Unanue (University of the Basque Country UPV/EHU) 
      • Jose A Lozano (UPV/EHU)
    • Directed differential equation discovery using modified mutation and cross-over operators (20m)
      • Alexander Hvatov (ITMO University)
    • A comparative study of meta-heuristic algorithms for WSN deployment problem in indoor environments (20m)
      • Khaoula Zaimen (UHA) 
      • Mohamed-el-Amine BRAHMIA (CESI LINEACT) 
      • Lhassane Idoumghar (University of Haute Alsace)
    • Extreme Learning Machine-based Genetic Algorithm for the facility location problem with distributed demands on network edges (20m)
      • Mahmoud Golabi (University of Haute-Alsace) 
      • Lhassane Idoumghar (University of Haute Alsace)
  • MA6 Combinatorial Optimization & Heuristics, Metaheuristics and Hyper-Heuristics
    Session Chairs Savio Sampaio and Bernhard Berger
    Monday, July 3, 2023 at 4:00:00 PM CDT – Monday, July 3, 2023 at 5:40:00 PM CDT Zurich B
    • An Improved Genetic Algorithm With Euclidean Geometry and Hybrid Heuristic Crossover for Traveling Salesman Problem (20m)
      • Bryan Zhu (Bellevue High)
    • Meta-Heuristics Approach for Arrival Sequencing and Delay Absorption through Automated Vectoring (20m)
      • Imen Dhief (Nanyang Technological University) 
      • Sameer Alam (Nanyang Technological University) 
      • Nimrod Lilith (Nanyang Technological University)
    • The Algorithm Selection Problem for Solving Sudoku with Metaheuristics (20m)
      • Danielle Notice (Lancaster University) 
      • Ahmed Kheiri (Lancaster University) 
      • Nicos Pavlidis (Lancaster University)
    • A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization (20m)
      • Anastasiia Filatova (ITMO University) 
      • Mikhail Kovalchuk (ITMO University) 
      • Irina Deeva (ITMO University) 
      • Denis Nasonov (ITMO University)
    • An hyper-heuristic based population management through statistical analysis and phases optimization (20m)
      • Alfonso Ramos-Michel (Universidad de Guadalajara)
      • Diego Oliva (Universidad de Guadalajara)
  • MA7 Multi objective optimization
    Session Chairs: Hemant Singh and Carlos Coello Coello
    Monday, July 3, 2023 at 4:00:00 PM CDT – Monday, July 3, 2023 at 5:40:00 PM CDT Zurich C
    • Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation (20m)
      • Jiangtao Shen (Northwestern Polytechnical University)
    • Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-world Problems (20m)
      • Yang Nan (Southern University of Science and Technology) 
      • Tianye Shu (Southern University of Science and Technology) 
      • Hisao Ishibuchi (Southern University of Science and Technology)
    • Finding Robust Solutions for Many-Objective Optimization Using NSGA-III (20m)
      • Deepanshu Yadav (Indian Institute of Technology Madras) 
      • Palaniappan Ramu (IIT Madras) 
      • Kalyanmoy Deb (“Michigan State University, East Lansing, USA”)
    • A Subspace-based Non-dominated Subset Selection Method ()
      • Qingshan Tan (China University of Geosciences (Wuhan)) 
      • Changhe Li (China University of Geosciences (Wuhan)) 
      • Shengxiang Yang (De Montfort University)
    • A Surrogate-ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems ()
      • Wenji Li (Shantou University)
      • Ruitao Mai (Shantou University )
      • Zhun Fan (Shantou University)
      • Zhifeng Hao (Shantou University)
  • MA8 Presentation of Competition Results
    Session Chair: Alexander Dockhorn,
    Monday, July 3, 2023 at 4:00:00 PM CDT – Monday, July 3, 2023 at 5:40:00 PM CDT Zurich E
  • End of Day Monday Session Chair: N/A Monday, July 3, 2023 at 5:40:00 PM CDT – Monday, July 3, 2023 at 5:40:00 PM CDT 

Tuesday, July 4th

  • Plenary 2 Session Chair: Carlos Coello Coello 
    Tuesday, July 4, 2023 at 9:00:00 AM CDT – Tuesday, July 4, 2023 at 10:00:00 AM CDT Zurich D
    • EA based search and AI in engineering applications (60m)
      • Markus Olhofer (Honda Research Institute Europe)
  • TM Short Break
    Tuesday, July 4, 2023 at 10:00:00 AM CDT – Tuesday, July 4, 2023 at 10:10:00 AM CDT Zurich Foyer
  • TM1 Evolutionary Robotics
    Session Chair: Gui DeSouza 
    Tuesday, July 4, 2023 at 10:10:00 AM CDT – Tuesday, July 4, 2023 at 10:50:00 AM CDT Zurich A
    • Effective robotic swarm shepherding in the presence of obstacles (20m)
      • Jing Liu (University of New South Wales) 
      • Hemant Kumar Singh (The University of New South Wales) 
      • Saber Elsayed (University of New South Wales) 
      • Robert Hunjet (DSTG ) 
      • Hussein Abbass (University of New South Wales – Canberra)
    • Evolution of Collective Decision-Making Mechanisms for Collective Perception (20m)
      • Tanja Katharina Kaiser (TU Dresden and ScaDS.AI Dresden/Leipzig)
  • TM2 SS: Evolutionary Transfer Learning & SS: Bilevel Optimization: Methods
    Session Chair: Nelishia Pillay 
    Tuesday, July 4, 2023 at 10:10:00 AM CDT – Tuesday, July 4, 2023 at 10:50:00 AM CDT Zurich B
    • Evolving Intertask Mappings for Transfer in Reinforcement Learning (20m)
      • Minh Hua (Johns Hopkins University) 
      • John Sheppard (Montana State University)
    • An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization (20m)
      • Bing Wang (The University of New South Wales) 
      • Hemant Kumar Singh (The University of New South Wales) 
      • Tapabrata Ray (University of New South Wales)
  • TM3 SS: Secure, Privacy-Preserving, and Fairness-Aware Optimization
    Session Chair: Zakaria Abdelmoiz DAHI 
    Tuesday, July 4, 2023 at 10:10:00 AM CDT – Tuesday, July 4, 2023 at 10:50:00 AM CDT Zurich C
    • Federated Bayesian Optimization for Privacy-preserving Neural Architecture Search (20m)
      • Shiqing Liu (Bielefeld University) 
      • Xilu Wang (Bielefeld University) 
      • Yaochu Jin (Bielefeld University)
    • Privacy-Preserving Implementation of Local Search Algorithms for Collaboratively Solving Assignment Problems in Time-Critical Contexts (20m)
      • Christoph Schuetz (Johannes Kepler University Linz)
  • TM4 Evolved Neural Networks
    Session Chairs: Meyssa Zouambi and Yixiang Gao
    Tuesday, July 4, 2023 at 10:10:01 AM CDT – Tuesday, July 4, 2023 at 10:50:01 AM CDT Zurich E
    • Surrogate-assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies (20m)
      • Yifan Li (Xidian University) 
      • Jing Liu (Xidian University)
    • Continual learning of LSTM using ant colony optimization (20m)
      • Rikitaka Kinoyama (The University of Tokyo) 
      • Suryanarayanan NAV (The University of Tokyo ) 
      • Hitoshi Iba (University of Tokyo)
  • TM Coffee Break Session Chair: N/A Tuesday, July 4, 2023 at 10:50:00 AM CDT – Tuesday, July 4, 2023 at 11:10:00 AM CDT in Zurich Foyer
  • TM5 SS: Advances in Decomposition-based Evolutionary Multi-objective Optimization (ADEMO)
    Session Chairs: Shahryar Rahnamayan and Saul ZapotecasMartinez
    Tuesday, July 4, 2023 at 11:10:00 AM CDT – Tuesday, July 4, 2023 at 12:10:00 PM CDT Zurich A
    • A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows (20m)
      • Yiwen WANG (City University of Hong Kong) 
      • Qingfu Zhang (City University of Hong Kong)
    • The Combination of MOEA/D and WOF for Solving High-dimensional Expensive Multiobjective Optimization Problems (20m)
      • Yuxiang Shui (Xi’an Jiaotong University) 
      • Jianyong Sun (Xi’an Jiaotong University) 
      • Qingfu Zhang (City University of Hong Kong)
    • A Modified MOEA/D Based on Guided Search Directions for Large-scale Multiobjective Optimization ()
      • Yanhui Tang (Xi’an Jiaotong University) 
      • Yuxiang Shui (Xi’an Jiaotong University) 
      • Jianyong Sun (Xi’an Jiaotong University)
  • TM6 SS: Data-Driven Evolutionary Optimization of Computationally Expensive Problems
    Session Chairs: Gregorio Toscano-Pulido and Chaoli Sun
    Tuesday, July 4, 2023 at 11:10:00 AM CDT – Tuesday, July 4, 2023 at 12:10:00 PM CDT Zurich B
    • An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation (20m)
      • Dawei Zhan (Southwest Jiaotong University) 
      • Tianrui Li (School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China)
    • Surrogate-Assisted Morphology Optimization by Genetic Algorithms (20m)
      • Jinlin Jiang (Dalian University of Technology) 
      • Wenbin Pei (Dalian University of Technology) 
      • Yaqing Hou (Dalian University of Technology) 
      • Hongwei Ge (Dalian University of Technology) 
      • Liang Feng (Chongqing University, China)
    • Portfolio Re-balancing and Optimization using Directional Changes and Genetic Algorithms (20m)
      • Rui Jorge Almeida (Maastricht University, School of Business and Economics) 
      • Nalan Basturk (Maastricht University)
  • TM7 J2C: Journal to Conference
    Session Chair: Gary Yen.
    Tuesday, July 4, 2023 at 11:10:00 AM CDT – Tuesday, July 4, 2023 at 12:10:00 PM CDT Zurich C
    • A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends, in Transactions on Evolutionary Computation, Vol. 27, No. 1, February 2023, pp. 5-25 
      • Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, and Mengjie Zhang 
    • Orthogonal Transfer for Multitask Optimization, in IEEE published in Transactions on Evolutionary Computation, Vol. 27, No. 1, February 2023, pp. 185-200
      • Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, and Jun Zhang published
    • A Survey on Evolutionary Constrained Multiobjective Optimization, in Transactions on Evolutionary Computation, Vol. 27, No. 2, April 2023, pp. 201-221 
      • Jing Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, and Kay Chen Tan  
  • TM8 SS: Evolutionary Multitasking
    Session Chair: Leonardo da Luz Dorneles 
    Tuesday, July 4, 2023 at 11:10:00 AM CDT – Tuesday, July 4, 2023 at 12:10:00 PM CDT Zurich E
    • Multi-View Transfer with Marginal and Conditional Alignment for Many-Task Optimization (20m)
      • Shenghao Wu (South China University of Technology) 
      • Jian-Yu Li (south china university of technology) 
      • Zhi-Hui Zhan (South China University of Technology ) 
      • Jun Zhang (Hanyang University)
    • Evolutionary Multitask Reinforcement Learning using Symbiosis in Biocoenosis Optimization (20m)
      • Rung-Tzuo Liaw (Department of computer science and information engineering, Fu Jen Catholic University)
    • A Knowledge Transfer-based Genetic Algorithm for Multi-target Robotic Arm Control (20m)
      • Zheng Guo (Dalian University of Technology) 
      • Zhaoping Yu (Dalian University of Technology) 
      • Wenbin Pei (Dalian University of Technology) 
      • Yaqing Hou (Dalian University of Technology) 
      • Zexuan Zhu (Shenzhen University) 
      • Xianneng Li (Dalian University of Technology)
  • Tue Lunch
    Tuesday, July 4, 2023 at 12:10:00 PM CDT – Tuesday, July 4, 2023 at 2:00:00 PM CDT in Lucerne
  • TA1 Differential Evolution
    Session Chairs: Nelishia Pillay and Gbenga Omotara
    Tuesday, July 4, 2023 at 2:00:00 PM CDT – Tuesday, July 4, 2023 at 3:40:00 PM CDT Zurich A
    • A Data-centric Approach to Parameter Tuning, an Application to Differential Evolution (20m)
      • Antonio Bolufe-Rohler (University of Prince Edward Island)
    • A Historical Information based Differential Evolution (20m)
      • Libao Deng (Harbin Institute of Technology) 
      • Chunlei Li (Harbin Institute of Technology) 
      • Wenyin Gong (China University of Geosciences)
    • 3-sCHSL: Three-stage Cyclic Hybrid SFS and L-SHADE algorithm for single objective optimization (20m)
      • Mostafa Ali (Jordan University of Science and Technology) 
      • Arafat Awajan (Princess Sumaya University) 
      • Mohammad Daoud (German Jordanian University) 
      • Ponnuthurai Suganthan (Nanyang Technological University) 
      • Robert Reynolds (Wayne State University)
    • A Reachability-distance based Differential Evolution with Individual Transfer for Multimodal Optimization Problems (20m)
      • Hong Zhao (xidian university) 
      • xiangqian li (Guangzhou Institute of Technology, Xidian University) 
      • Jing Liu (Xidian University)
    • Differential Evolution with Clustering-based Niching and Adaptive Mutation for Global Optimization ()
      • yan hao (hznu)
      • Qingping Liu (Hangzhou Normal University)
      • Weiguo Sheng (Hangzhou Normal University)
  • TA2 Ant Colony, Swarm Intelligence and Particle Swarm Optimization
    Session Chair: Derek Anderson
    Tuesday, July 4, 2023 at 2:00:00 PM CDT – Tuesday, July 4, 2023 at 3:40:00 PM CDT Zurich B
    • Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control (20m)
      • Jyotheesh Gaddam (Deakin University) 
      • Thanh Thi Nguyen (Deakin University) 
      • Maia Angelova (Deakin University)
    • Improving the convergence of the PSO algorithm with a stagnation variable and fuzzy logic (20m)
      • Diego Oliva (Universidad de Guadalajara) 
      • Alfonso Ramos-Michel (Universidad de Guadalajara) 
      • Seyed Jalaleddin Mousavirad (Sabzevar University of New Technology)
    • A novel diversity-aware inertia weight and velocity control for particle swarm optimization (20m)
      • Diego Oliva (Universidad de Guadalajara) 
      • Alfonso Ramos-Michel (Universidad de Guadalajara) 
      • Seyed Jalaleddin Mousavirad (Sabzevar University of New Technology)
    • A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments (20m)
      • Alanna McNulty (Brock University) 
      • Beatrice Ombuki-Berman (Brock University )
    • Toward Unbounded Search Space Exploration by Particle Swarm Optimization in Multi-Modal Optimization Problem (20m)
      • Ryuki Ishizawa (The University of Electro-Communications) 
      • Yusuke Maekawa (The University of Electro-Communications) 
      • Hiroyuki Sato (The University of Electro-Communications) 
      • Keiki Takadama (The University of Electro-Communications)
  • TA3 Multi objective optimization
    Session Chairs: Nalan Basturk and Jesus Falcon-Cardona
    Tuesday, July 4, 2023 at 2:00:00 PM CDT – Tuesday, July 4, 2023 at 3:40:00 PM CDT Zurich C
    • A generalized surrogate-assisted evolutionary algorithm for expensive multi-objective optimization (20m)
      • Kamrul Rahi (The University of New South Wales, Australia) 
      • Hemant Kumar Singh (The University of New South Wales) 
      • Tapabrata Ray (University of New South Wales)
    • An Improved Version of MMOEA/DC Based on Alternative Clustering Definitions (20m)
      • Kaoutar Senhaji (Basque center of applied mathematics) 
      • Carlos Coello Coello (CINVESTAV-IPN) 
      • Jose A Lozano (University of the Basque Country)
    • Adjusting Infeasible Regions in the Constrained Multiobjective Optimization Problem (20m)
      • Chuan-Kang Ting (National Tsing Hua University)
  • TA4 Combinatorial Optimization & Heuristics, Metaheuristics and Hyper-Heuristics
    Session Chair: 
    Tuesday, July 4, 2023 at 2:00:00 PM CDT – Tuesday, July 4, 2023 at 3:40:00 PM CDT Zurich E
    • A New Portfolio Optimization Model Considering Hybrid Trading Strategies (20m)
      • Shu-Yu Kuo (National Taiwan University) 
      • Yu-Chi Jiang (National Taiwan University) 
      • Yun-Ting Lai (National Chi Nan University) 
      • Yao-Hsin Chou (National Chi Nan University)
    • The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts (20m)
      • Vasco Coelho (University of Milano-Bicocca) 
      • Daniele Papetti (Università degli studi Milano-Bicocca) 
      • Daniela Besozzi (University of Milano Bicocca) 
      • Marco Nobile (Ca’ Foscari University of Venice)
    • Hyper-heuristics meet Controller Design: Improving Electrical Grid Performance through Microgrids (20m)
      • José Carlos Ortiz-Bayliss (Tecnologico de Monterrey) 
      • Jorge Cruz-Duarte (Tecnológico de Monterrey) 
      • Juan Gabriel Aviña-Cervantes (Engineering Division, Universidad de Guanajuato Campus Irapuato-Salamanca) 
      • Ivan Amaya (Tecnologico de Monterrey)
    • Order picking: Exploring the properties of the greedy seed-based batching algorithm (20m)
      • Son Tran (Maastricht University)
      • Rui Jorge Almeida (Maastricht University, School of Business and Economics)
    • Neural Network based Heuristic Selection for Selection Hyper-heuristics ()
      • Jingwei Li (Duke Kunshan University)
      • Mustafa Misir (Duke Kunshan University)
  • TA Coffee Break
    Tuesday, July 4, 2023 at 3:40:00 PM CDT – Tuesday, July 4, 2023 at 4:00:00 PM CDT in Zurich Foyer
  • TA5 Real-world applications
    Session Chair: Rui Jorge Almeida  
    Tuesday, July 4, 2023 at 4:00:00 PM CDT – Tuesday, July 4, 2023 at 5:00:00 PM CDT Zurich A
    • Incremental Search-Based Allocation of Autonomous Robots for Goods Delivery (20m)
      • Paolo Arcaini (National Institute of Informatics) 
      • Ezequiel Castellano (National Institute of Informatics) 
      • Fuyuki Ishikawa (National Institute of Informatics)
    • Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting (20m)
      • Aneta Neumann (The University of Adelaide) 
      • Frank Neumann (The University of Adelaide, School of Computer Science, Faculty of Engineering, Computer and Mathematical Science)
    • A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-objective Perspective ()
      • Yaqi Ti (China University of Geosciences (Wuhan)) 
      • Changhe Li (China University of Geosciences (Wuhan)) 
      • Shengxiang Yang (De Montfort University)
  • TA6 Real-world applications
    Session Chairs: Andersson Silva and Nalan Basturk
    Tuesday, July 4, 2023 at 4:00:00 PM CDT – Tuesday, July 4, 2023 at 5:00:00 PM CDT Zurich B
    • Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience (20m)
      • Chang-Shing Lee (National University of Tainan) 
      • Mei-Hui Wang (National University of Tainan) 
      • Alexander Dockhorn (Leibniz University Hannover)
    • An archive-based multi-objective simulated annealing algorithm for the time/weight-balanced cluster problem in delivery logistics (20m)
      • Adriana Menchaca-Mendez (ENES Morelia, UNAM) 
      • Saúl Zapotecas-Martínez (INAOE)
    • A Hybrid Genetic Approach for Bi-level Flexible Job Shops Arising from Selective Deconstruction (20m)
      • Corentin Juvigny (IMT Nord Europe) 
      • Julien Baste (Université de Lille) 
      • Laetitia JOURDAN (Université Lille-CRISTAL)
  • TA7 Real-world and Engineering Applications
    Session Chair: Ozgur Salman and Zakaria Abdelmoiz DAHI
    Tuesday, July 4, 2023 at 4:00:00 PM CDT – Tuesday, July 4, 2023 at 5:00:00 PM CDT Zurich C
    • TOOL: A Domain-specific Language based Approach to Optimization (20m)
      • Bernhard Berger (Hamburg University of Technology) 
      • Christina Plump (DFKI GmbH) 
      • Rolf Drechsler (University of Bremen & DFKI GmbH)
    • Application of Quantum Genetic Algorithms to Network Signal Setting Design (20m)
      • Giovanni Acampora (University of Naples Federico II) 
      • Angela Chiatto (University of Naples Federico II) 
      • Stefano De Luca (University of Salerno) 
      • Roberta Di Pace (University of Salerno) 
      • Alfredo Massa (QuantumNet) 
      • Roberto Schiattarella (University of Naples Federico II) 
      • Autilia Vitiello (University of Naples Federico II)
    • Genetic programming for resource allocation in network function virtualization (20m)
      • Tam Nguyen (Hanoi University of Science and Technology) 
      • Huynh Thi Thanh Binh (Hanoi University of Science and Technology)
  • TA8 Cybersecuriity, Finance and Hyperparameter Tuning
    Session Chair: Hisao Ishibuchi 
    Tuesday, July 4, 2023 at 4:00:00 PM CDT – Tuesday, July 4, 2023 at 5:00:00 PM CDT Zurich E
    • Immune-Based System to Enhance Malware Detection (20m)
      • Manel Jerbi (Higher Institute of Management of Tunis) 
      • Zaineb CHELLY DAGDIA (UVSQ, Paris-Saclay) 
      • Slim Bechikh (SMART lab, University of Tunis, ISG-Campus, Tunis, Tunisia) 
      • Lamjed Ben Said (SOIE Laboratory, High Institute of Management, Tunisia)
    • A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning (20m)
      • Ankur Sinha (Indian Institute of Management Ahmedabad)
    • Multi-objective optimisation and genetic programming for trading by combining directional changes and technical indicators ()
      • xinpeng long (University of Essex)
      • Michael Kampouridis (University of Essex)
      • Panagiotis Kanellopoulos (University of Essex)
  • End of Day Tuesday

Tuesday, July 4th – Boat Dinner – 7:00:00PM

  • Boarding starts at 7:00pm and ends at 7:30pm.
  • Dinner will be served immediately after boarding, followed by a few announcements and Awards Ceremony. Fireworks should start at around 9:30pm, with deserts served until 10:30pm, when the cruise ends.
  • Go to Navy Pier, and look for the Spirit of Chicago, operated by City Experiences (right across Sable Hotel)
  • It takes about 20min walking from the Venue, so make sure you leave early and get there before 7pm.
  • More information here.

Wednesday, July 5th

  • Plenary 3 Session Chair: Alexander Dockhorn  
    Wednesday, July 5, 2023 at 9:00:00 AM CDT – Wednesday, July 5, 2023 at 10:00:00 AM CDT Zurich D
    • 30 Years of EMO: Lessons Learned and Tasks Ahead (60m)
      • Kalyanmoy Deb (“Michigan State University, East Lansing, USA”)
  • WM Short Break
    Wednesday, July 5, 2023 at 10:00:00 AM CDT – Wednesday, July 5, 2023 at 10:10:00 AM CDT in Zurich Foyer
  • WM1 SS: Games
    Session Chair: Jeffrey Horn 
    Wednesday, July 5, 2023 at 10:10:00 AM CDT – Wednesday, July 5, 2023 at 10:50:00 AM CDT Zurich A
    • Evolutionary Optimization of Baba Is You Agents (20m)
      • Alexander Dockhorn (Leibniz University Hannover)
    • Increasing Features in MAP-Elites Using an Age-Layered Population Structure (20m)
      • Andrew Pozzuoli (Brock University) 
      • Brian Ross (Brock University)
  • WM2 Adaptive Dynamic Programming and Reinforcement Learning
    Session Chair: Rui Jorge Almeida 
    Wednesday, July 5, 2023 at 10:10:00 AM CDT – Wednesday, July 5, 2023 at 10:50:00 AM CDT Zurich B
    • Efficient Multi-agent Exploration with Mutual-guided Actor-Critic (20m)
      • Renlong Chen (Peking University) 
      • Ying Tan (Peking University)
    • FWA-RL: Fireworks Algorithm with Policy Gradient for Reinforcement Learning (20m)
      • Maiyue Chen (Peking University) 
      • Ying Tan (Peking University)
  • WM3 Evolutionary Computation Theory
    Session Chairs: Jose Lozano and Liam McDevitt
    Wednesday, July 5, 2023 at 10:10:00 AM CDT – Wednesday, July 5, 2023 at 10:50:00 AM CDT Zurich C
    • Is CC-(1+1) EA more efficient than (1+1) EA on separable and inseparable problems? (20m)
      • SHISHEN LIN (University of Birmingham)
    • Game Based Pigeon-Inspired Optimization with Repository Assistance for Stochastic Optimizations with Uncertain Infeasible Search Regions ()
      • Daifeng Zhang (Qilu University of Technology)
  • WM4 N/A
    Session Chair: TBD 
    Wednesday, July 5, 2023 at 10:10:01 AM CDT – Wednesday, July 5, 2023 at 10:50:01 AM CDT Zurich E
  • WM Coffee Break
    Wednesday, July 5, 2023 at 10:50:00 AM CDT – Wednesday, July 5, 2023 at 11:10:00 AM CDT in Zurich Foyer
  • WM5 Biometrics, Bioinformatics and Biomedical Applications
    Session Chair: Derek Anderson 
    Wednesday, July 5, 2023 at 11:10:00 AM CDT – Wednesday, July 5, 2023 at 12:10:00 PM CDT Zurich A
    • Removal of Confounding Factors using GA-SVM Feature Adaptation: Application on Detection of Vocal Fatigue thru sEMG Classification (20m)
      • Yixiang Gao (University of Missouri – Columbia) 
      • Guilherme DeSouza (University of Missouri)
    • Contrastive Learning Approach to Predict Radiologist’s Error Based on Gaze Data (20m)
      • Ilya Pershin (Innopolis University) 
      • Bulat Ibragimov (University of Copenhagen)
    • A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation ()
      • Shaolong Shi (Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China)
      • Yifan Chen (University of Electronic Science and Technology of China)
      • Zhaoyang Jiang (University of Electronic Science and Technology of China)
      • Qiang Liu (University of Electronic Science and Technology of China)
      • Jurong Ding (Sichuan University of Science and Engineering)
      • Qingfu Zhang (City University of Hong Kong)
  • WM6 Genetic Algorithms Application 
    Session Chair: Paolo Arcaini and Aneta Neumann
    Wednesday, July 5, 2023 at 11:10:00 AM CDT – Wednesday, July 5, 2023 at 12:10:00 PM CDT Zurich B
    • cudaBRKGA-CNN: an approach for optimizing convolutional neural network architectures (20m)
      • Andersson Silva (Federal University of Pernambuco) 
      • Ricardo Silva (UFPE) 
      • Amanda Xavier (Federal University of Pernambuco) 
      • Thiago Dias Bispo (UFPE) 
      • Geraldo Mateus (Universidade Federal de Minas Gerais) 
      • Mauricio Resende (amazon)
    • Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians (20m)
      • Giovanni Acampora (University of Naples Federico II) 
      • Angela Chiatto (University of Naples Federico II) 
      • Giovanni De Gregorio (Università della Campania “Luigi Vanvitelli”) 
      • Roberto Schiattarella (University of Naples Federico II) 
      • Autilia Vitiello (University of Naples Federico II)
    • Optimization of Trading Strategies Using a Genetic Algorithm under the Directional Changes Paradigm with Multiple Thresholds ()
      • Ozgur Salman (University of Essex)
      • Themistoklis Melissourgos (University of Essex)
      • Michael Kampouridis (University of Essex)
  • WM7 Combinatorial Optimization & Heuristics, Metaheuristics and Hyper-Heuristics
    Session Chair: Frank Neumann 
    Wednesday, July 5, 2023 at 11:10:00 AM CDT – Wednesday, July 5, 2023 at 12:10:00 PM CDT Zurich C
    • Benchmark Problems on GPU: Accelerating Experiments on Metaheuristics (20m)
      • Leonardo da Luz Dorneles (Federal University of Rio Grande do Sul) 
      • Mateus Boiani (Federal University of Rio Grande do Sul) 
      • Marcio Dorn (Federal University of Rio Grande do Sul)
    • IVF/NSGA-III – In Vitro Fertilization method coupled to NSGA-III (20m)
      • Sávio Sampaio (Universidade Federal de Goiás) 
      • Altino Dantas (Universidade Federal de Goiás)
    • Deep Learning Models Compression based on Evolutionary Algorithms and Digital Fractional Differentiation (20m)
      • Arcadi Llanza (LISSI) 
      • Nadiya Shvai (CYCLOPE.AI) 
      • amir nakib (unviersité Paris Est)
  • WM8 Clustering in Evolutionary Computation
    Session Chair: James Keller 
    Wednesday, July 5, 2023 at 11:10:00 AM CDT – Wednesday, July 5, 2023 at 12:10:00 PM CDT Zurich E
    • A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis (20m)
      • Mohammad Sadegh Khorshidi (University of Technology Sydney) 
      • Jacek Mańdziuk (Warsaw University of Technology) 
      • Amir Gandomi (University of Technology Sydney)
    • Sequential Estimation of States and Parameters of Non-linear State Space Models Taking Account of Ensembles Not Covering True States (20m)
      • Daigo Yamamoto (Tokyo Institute of Technology) 
      • Isao Ono (Tokyo Institute of Technology)
    • Robust density-based data clustering using a quantum inpsired genetic algorithm (20m)
      • Amit Banerjee (Penn State University Harrisburg)
  • Wed Lunch Session Chair: N/A Wednesday, July 5, 2023 at 12:10:00 PM CDT – Wednesday, July 5, 2023 at 2:00:00 PM CDT in Lucerne
  • WA1 Estimation of Distribution
    Session Chairs: Giovanni Acampora and Seyed Mohamad Ali Tousi
    Wednesday, July 5, 2023 at 2:00:00 PM CDT – Wednesday, July 5, 2023 at 3:40:00 PM CDT Zurich A
    • Gaussian Adaptation with Decaying Matrix Adaptation Weights (20m)
      • Oladayo Ajani (Kyungpook National University ) 
      • Ivan Dzeuban (Kyungpook National University) 
      • Rammohan Mallipeddi (Kyungpook national University)
    • Variational Quantum Algorithm Parameter Tuning with Estimation of Distribution Algorithms (20m)
      • Vicente Soloviev (Universidad Politécnica de Madrid) 
      • Pedro Larranaga (Technical University of Madrid) 
      • Concha Bielza (Universidad Politécnica de Madrid)
    • IoT Service Composition — An Estimation of Distribution Algorithm with Adaptive Bias ()
      • Fengyang Sun (Victoria University of Wellington)
      • Hui Ma (Victoria University of Wellington)
      • Gang Chen (Victoria University of Wellington)
      • Sven Hartmann (Clausthal University of Technology)
  • WA2 Constrained Optimization and Handling
    Session Chair: Yoshikazu Fukuyama and Janez Brest
    Wednesday, July 5, 2023 at 2:00:00 PM CDT – Wednesday, July 5, 2023 at 3:40:00 PM CDT Zurich B
    • Negatively Correlated Search for Constrained Optimization (20m)
      • Li Yuan (Southern University of Science and Technology) 
      • Xiaofen Lu (Southern University of Science and Technology) 
      • Xin Yao (Southern University of Science and Technology)
    • A new solution encoding scheme for solving the Flexible Job-Shop Scheduling Problem (20m)
      • Juan Carlos Somohano-Murrieta (University of Veracruz) 
      • Efrén Mezura-Montes (University of Veracruz) 
      • Marcela Quiroz Castellanos (Universidad Veracruzana)
    • A Hybrid Evolutionary Approach with Group-based Solution Encoding for Solving the Constrained Bilevel Multi-Depot Vehicle Routing Problem (20m)
      • Rocio Salinas-Guerra (University of Veracruz) 
      • Efrén Mezura-Montes (University of Veracruz) 
      • Marcela Quiroz Castellanos (Universidad Veracruzana) 
      • Jesús-Adolfo Mejía-de-Dios (Centro de Investigación en Matemáticas Aplicadas, Universidad Autonoma de Coahuila) 
      • Slim Bechikh (SMART lab, University of Tunis, ISG-Campus, Tunis, Tunisia)
  • WA3 Late Breaking
    Session Chair: Gbenga Omotara 
    Wednesday, July 5, 2023 at 2:00:00 PM CDT – Wednesday, July 5, 2023 at 3:40:00 PM CDT Zurich C
    • Exploring Radiologists’ Workload-Related Gaze Patterns with AI: A Study of Workload and X-ray Abnormalities (20m)
      • Ilya Pershin (Innopolis University) 
      • Maksim Kholiavchenko (Rensselaer Polytechnic Institute) 
      • Bulat Ibragimov (University of Copenhagen)
    • Multilevel Image Segmentation of Breast Cancer using Improved Differential Evolution (20m)
      • Meera Ramadas (MIR Labs) 
      • Anu Bajaj (Thapar Institute of Engineering and Technology) 
      • Ajith Abraham (Machine Intelligence Research Labs, WA, USA)
    • Identifying Regions of Intensive Cyclone using Multilevel Thresholding with Variant of Differential Evolution (20m)
      • Anu Bajaj (Thapar Institute of Engineering and Technology) 
      • Meera Ramadas (MIR Labs) 
      • Ajith Abraham (Machine Intelligence Research Labs, WA, USA)
    • Whale Optimization of an Echo State Neural Network for Electric Load Forecasting (20m)
      • Francesco Grimaccia (Politecnico di Milano) 
      • Alessandro Niccolai (Politecnico di Milano) 
      • Marco Mussetta (Politecnico di Milano)
    • Multi-Scale Evolving Deep Neural Networks for Retinal Funds Image Segmentation (20m)
      • Hanyu Zhang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University) 
      • Qingxin Guo (Northeastern University)
  • WA4 Late Breaking
    Session Chair: Yixiang Gao 
    Wednesday, July 5, 2023 at 2:00:00 PM CDT – Wednesday, July 5, 2023 at 3:40:00 PM CDT Zurich E
    • Approximating and Predicting Energy Consumption of Portable Devices (20m)
      • Artem Kruglov (Innopolis University )
    • Examining the Success of an Open Source Software Project Analysing Its Repository (20m)
      • Artem Kruglov (Innopolis University )
    • Evolutionary Computation-based Assessment Model for Human-Machine Co-Learning on Taiwanese and English Language between Taiwan and Japan (20m)
      • Chang-Shing Lee (National University of Tainan) 
      • Mei-Hui Wang (National University of Tainan) 
      • Eri Shimokawara (Tokyo Metropolitan University) 
      • Mitsunori Matsushita (Kansai University) 
      • Ryosuke Yamanishi (Kansai University)
    • Nature‑Inspired Techniques for Dynamic Constraint Satisfaction Problems (20m)
      • Mahdi Bidar (University of Regina) 
      • Malek Mouhoub (Univ. of Regina)
  • WA Coffee Break
    Wednesday, July 5, 2023 at 3:40:00 PM CDT – Wednesday, July 5, 2023 at 4:00:00 PM CDT Zurich Foyer
  • WA5 Late Breaking
    Session Chair: Ramy Farag 
    Wednesday, July 5, 2023 at 4:00:00 PM CDT – Wednesday, July 5, 2023 at 5:40:00 PM CDT Zurich A
    • Fake News Identification Using Artificial Immune Systems (20m)
      • Kazi Shah Nawaz Ripon (Ostfold University College) 
      • Mohammad Shorif Uddin (Jahangirnagar University)
    • An Evolutionary Ensemble Learning Method for Endpoint Quality Prediction in Steelmaking Process (20m)
      • Chang Liu (Northeastern University)
    • A multi-objective optimization scheduling for multi-energy system in iron and steel enterprise (20m)
      • Yanyan Zhang (Northeastern University)
    • Virtual Worlds and Artificial Intelligence for Indigenous Engagement (20m)
      • Robert Reynolds (Wayne State University)
    • Niching Improves Recombinative Search: Revisiting the New York City Tunnels Problem (20m)
      • Jeffrey Horn (Northern Michigan University) 
      • Jordan Simula (Northern Michigan University)
  • WA6 Late Breaking
    Session Chair: Parth Upadhyay
    Wednesday, July 5, 2023 at 4:00:00 PM CDT – Wednesday, July 5, 2023 at 5:40:00 PM CDT Zurich B
    • Electricity Technician Dispatch Routing Optimization (20m)
      • Mehdi Sadeghilalimi (University of Regina) 
      • Malek Mouhoub (Univ. of Regina) 
      • Haifa Zaidi (SUP’COM) 
      • Aymen Ben Said (University of Regina)
    • Meta-Heuristic Algorithm for Model Order Reduction using the Nu-Gap Metric (20m)
      • Mingyu Kim (Chung-Ang University) 
      • Tae Hyoung Kim (Chung-Ang University)
    • Photo-Voltaic Array Layouts Design using a Genetic Algorithm (20m)
      • Miri Weiss Cohen ( Braude Academic College of Engineering)
    • Concurrent Real-Time optimization of detecting unexpected tasks in IoT design process using GA (20m)
      • Adam Górski (Jagiellonian University) 
      • Maciej Ogorzałek (Jagiellonian University)
    • On the Use of Machine-Learning based Surrogate Models in Continuous Optimisation ()
      • Antonio LaTorre (Universidad Politécnica de Madrid)
  • WA7 Late Breaking
    Session Chair: TBD 
    Wednesday, July 5, 2023 at 4:00:00 PM CDT – Wednesday, July 5, 2023 at 5:40:00 PM CDT Zurich C
  • End of Conference