Competition

IEEE CEC 2025 will host competitions to stimulate research in evolutionary computation, promote fair evaluations, and attract congress participants. The following table includes accepted competitions.

 


TitleWebsite
C01Evolutionary Computation in the Energy Domain: Summer Finals of the Risk-based Energy Schedulinghttps://www.gecad.isep.ipp.pt/ERM-competitions/
C02Black-box Consensus-based Distributed Optimizationhttps://github.com/iamrice/Proposal-for-Competition-on-Black-box-Consensus-based-Distributed-Optimization
C03Dynamic Multiobjective Optimisationhttps://zoujuan1.github.io/
C04EMAP Dataset Challenge: Predicting Affective States and Physiological Responses with Feature Selectionhttps://emapchallenge.github.io/
C05Bound Constrained Single and Multiobjective Numerical Optimizationhttps://github.com/P-N-Suganthan/2025-CEC
C06Constrained Single and Multiobjective Numerical Optimizationhttps://github.com/P-N-Suganthan/2025-CEC
C07Large-scale Multiobjective Optimization for Status Assessment of Measuring Equipmenthttps://github.com/ChengHust/IEEE-CEC-Large-scale-Competition/blob/master/README.md
C08Dynamic Scheduling of Flexible Flow Shop with Random Job Arrivalshttps://github.com/SIA-aps/CEC2025-DFFSP-competition
C09Numerical Global Optimization Competition on GNBG-II generated Test Suitehttps://dsmlossf.github.io/GNBG-Competition-2025/
C10Dynamic Optimization Problemshttps://competition-hub.github.io/GMPB-Competition/
C11
Evolutionary Multi-task Optimizationhttps://www.hou-yq.com/WCCI_CEC_2025_COMPETITION_EMO.html

 


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