18th International Conference on Evolutionary Computation Theory and Applications (ECTA 2026)

The 18th International Conference on Evolutionary Computation Theory and Applications (ECTA 2026) advances evolutionary computation theory and applications, focusing on meta-heuristics, genetic and memetic algorithms, swarm intelligence, and real-world optimization systems.

Key Topics

• Evolutionary search and meta-heuristics
• Genetic programming
• Evolutionary multi-objective optimization
• Swarm and collective intelligence
• Memetic algorithms
• Representation techniques
• Hyperheuristics
• Co-evolution and collective behavior
• Evolutionary learning systems
• Hybrid neuro-genetic and fuzzy-genetic systems
• Automatic algorithm selection and design
• Evolutionary algorithm configuration for AutoML
• Behavior analysis of evolutionary algorithms
• Benchmarking and performance evaluation
• Games and entertainment technologies
• Evolutionary robotics
• Industrial and real-world applications
• Theory of evolutionary algorithms
• Evolvable and adaptive hardware systems
• Genetic algorithms

Who should attend

• Researchers in evolutionary computation
• Machine learning and AI scientists
• Robotics engineers
• Optimization and meta-heuristics specialists
• Computer scientists working on adaptive systems
• Industrial practitioners applying evolutionary algorithms
• Game and simulation technology developers