The International Conference on Evolutionary Multi-Criterion Optimization (EMO) is the premier venue for researchers and practitioners working on multi-objective and many-objective optimization using evolutionary and nature-inspired computation approaches.
EMO 2027 will bring together leading experts from academia and industry to present and discuss the latest advances in evolutionary multi-objective optimization, including theoretical foundations, algorithm design, performance assessment, and real-world applications.
We welcome submissions on all aspects of multi-objective optimization, including but not limited to:
Algorithms, Theory, and Methods: Evolutionary and population-based algorithms, Surrogate-based or Bayesian optimization methods, Machine learning/artificial intelligence-based hybrid methods, Theoretical foundations of multi-objective optimization, Preference-based and interactive methods
Assessment, Decision-Making, and Applications: Multiple-criteria decision-making, Benchmarking, performance indicators, and visualization tools, Practical applications
| Milestone | Date |
|---|---|
| Paper Submission Deadline | 28 September 2026 |
| Author Notification | 30 November 2026 |
| Camera-Ready Deadline | 14 December 2026 |