Conference Information

IEEE CEC 2027: IEEE Congress on Evolutionary Computation

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Submission Date:
2027-02-28 Due in 131 days
Notification Date:
2027-04-07
Conference Date:
2027-07-25
Location:
Edinburgh, UK
Years:
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CCF: C   ICORE: B   Viewed: 135073   Tracked: 40   Attend: 19
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Conference Partner Index (CP-I)

52.6 / 100
Ranked #1,168 of 5,738 conferences · Top 21%

#102 of 748 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
54
Public record completeness (15%)
55

Inputs used: Listed as CCF C, ICORE B · Editions on record: 1 · Researchers following it here: 40 · Researchers who opened this page in the past 24 months: 10

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-20

Call For Papers

IEEE CEC 2027 (IEEE Congress on Evolutionary Computation) is a CCF C / ICORE B conference held in Edinburgh, UK on 2027-07-25. The paper submission deadline is 2027-02-28. Acceptance notifications are sent on 2027-04-07.

The IEEE Congress on Evolutionary Computation (IEEE CEC) is a world-class event in the field of Evolutionary Computation. One of the flagship conferences of the IEEE Computational Intelligence Society (IEEE CIS) and held annually since 1994, it provides a forum to bring together researchers and practitioners from all over the world to present and discuss their research findings on Evolutionary Computation. We invite original, previously unpublished contributions from researchers, practitioners and educators across the full breadth of evolutionary computation, from theoretical foundations to real-world applications. IEEE CEC 2027 will be held in Edinburgh, Scotland, a vibrant capital renowned for its world-leading universities and research community and, in late July, for the festivals that fill the city each summer. We warmly invite the community to join us for an outstanding scientific programme in an inspiring setting. ALGORITHMS Ant colony optimization and swarm intelligence Artificial immune systems Coevolutionary systems Coevolution Cultural algorithms Differential evolution Estimation of distribution algorithms Evolutionary computation theory Evolutionary developmental systems Evolutionary programming Evolution strategies Genetic algorithms Genetic programming 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 MACHINE LEARNING FOR OPTIMIZATION & EVOLUTIONARY LEARNING Automated design of heuristics 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 optimization Algorithm portfolios OPTIMIZATION Combinatorial Optimization Constraint handling Dynamic optimization Large-scale optimization Multi-modal optimization Multi-objective optimization Numerical optimization Optimization in the presence of uncertainty Robust optimization RELATED TOPICS Art and music Artificial life and adaptive behavior Autonomous mental and behavior development Biometrics Bioinformatics and computational biology Classification Clustering Data mining Defense and cybersecurity Drug design Embodied robotics Engineering design Evolutionary games and multi-agent systems Evolvable hardware Evolutionary software engineering Evolutionary robotics Finance and economics Intelligent systems applications Real-world applications AI ethics and governance THEORIES Causality and evolvability Convergence Fitness landscape analysis Robustness and neutrality Runtime analysis Scalability and complexity analysis
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