EMO2025 Proceedings
EMO2025 Proceedings are now available through the following links:
- Part I: https://link.springer.com/book/10.1007/978-981-96-3506-1
- Part II: https://link.springer.com/book/10.1007/978-981-96-3538-2
Conference Program
Keynote Talks
- Interactive Multiobjective Optimization from MCDM and EMO Perspectives by Kaisa Miettinen, Vice Rector and Professor of Industrial Optimization at the University of Jyväskylä, Finland
- Multi-X and Panta Rhei: Challenges and Opportunities in Optimization for Complex Applications by Bernhard Sendhoff, CEO, Global Network Honda Research Institutes, Germany
- Modelling and Set Constraints in Multi-objective Evolutionary Computation by Qingfu Zhang, Chair Professor of Computational Intelligence, City University of Hong Kong
Tutorials
- Evolutionary Multi-objective Optimization for Practical Problem Solving, by Prof. Kalyanmoy Deb, Michigan State University, USA
- Evolutionary Multi-Objective Algorithms for Constrained Single-Objective Combinatorial Optimization Problems: Theory and Applications, by Dr Aneta Neumann and Prof. Frank Neumann, The University of Adelaide, Australia
- Difficulties in Fair Performance Comparison of Evolutionary Multi-objective Optimization Algorithms, by Dr Lie Meng Pang and Prof. Hisao Ishibuchi, Southern University of Science and Technology, China
- Multi-objective Algorithm Design using Large Language Models, by Dr Fei Liu, Dr Zhichao Lu, Prof. Qingfu Zhang, City University of Hong Kong, Hong Kong, and Dr. Zhenkun Wang, Southern University of Science and Technology, China
- Dynamic Multi-objective Optimization: Introduction, Challenges, Applications and Future Directions, by Dr Mardé Helbig, Griffith University, Australia