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IEEE CEC 2026 : IEEE Congress on Evolutionary Computation

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Link: https://attend.ieee.org/wcci-2026/
 
When Jun 21, 2026 - Jun 26, 2026
Where Maastricht, The Netherlands
Submission Deadline Jan 31, 2026
Notification Due Mar 15, 2026
Final Version Due Apr 15, 2026
Categories    evolutionary computation   optimization   metaheuristics   genetic algorithms
 

Call For Papers

WCCI 2026 will take place in the beautiful and historic city of Maastricht, a vibrant hub of culture, innovation, and international collaboration. This congress brings together the three flagship conferences of the IEEE Computational Intelligence Society:

* The International Joint Conference on Neural Networks (IJCNN)
* The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
* The IEEE Congress on Evolutionary Computation (IEEE CEC)

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 The Conference Organizing Committee invites submissions of original, previously unpublished innovative research in any topic of evolutionary computation including, but not limited to: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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