IEEE Congress on Evolutionary Computation

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The annual IEEE Congress on Evolutionary Computation is one of the leading events in the field of evolutionary computation. The Conference Organizing Committee invites submissions of original, previously unpublished innovative research in any topic of evolutionary computation including, but not limited to: Algorithms Ant colony optimization and swarm intelligence Artificial immune systems Bayesian optimization Coevolution Cultural algorithms Differential evolution Estimation of distribution algorithms Evolutionary computation theory Evolutionary developmental systems Evolutionary programming Evolution strategies Genetic algorithms Genetic programming Heuristics Hyper-heuristics Interactive evolutionary computation Learning classifier systems Memetic algorithms Multi-meme and hybrid algorithms Molecular and quantum computing Multi-objective evolutionary algorithms Parallel and distributed algorithms Particle swarm optimization Representation and operators Self-adaptation in evolutionary computation Evolutionary Machine Learning Automated design of metaheuristics Evolutionary fuzzy systems Evolutionary neural architecture search Evolutionary reinforcement learning Fairness-aware optimization Federated and secure optimization Large language models for optimization Metaheuristics and hyper-heuristics Multi-objective machine learning Neural optimization Surrogate-assisted data-driven optimization Optimization Combinatorial optimization Constraint handling Dynamic optimization Large-scale optimization Multi-modal optimization Multi-task optimization Numerical optimization Optimization under uncertainty On-line planning, e.g., rolling horizon evolution Robust optimization Transfer optimization Related Topics Art and music Artificial life and adaptive behavior Autonomous mental and behavior development Biometrics Bioinformatics and computational biology Classification Regression Clustering Time series analysis Image analysis and computer vision Data mining Defense and cybersecurity Drug design Engineering design Evolvable hardware Evolutionary software engineering Evolutionary robotics Games Finance and economics Intelligent systems Large language models Multi-agent systems Real-world applications Theory Causality and evolvability Convergence Fitness landscape analysis Noisy fitness Robustness and neutrality Runtime analysis Scalability and complexity analysis Industry applications

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