Conference Information

ECTA 2026: International Conference on Evolutionary Computation Theory and Applications

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Submission Date:
2026-05-19
Notification Date:
2026-07-17
Conference Date:
2026-10-28
Location:
Angers, France
Years:
18
Viewed: 15332   Tracked: 1   Attend: 0

Call For Papers

ECTA 2026 (International Conference on Evolutionary Computation Theory and Applications) is an academic conference held in Angers, France on 2026-10-28. The paper submission deadline is 2026-05-19. Acceptance notifications are sent on 2026-07-17.

SCOPE Considered a subfield of computational intelligence focused on global optimisation problems, evolutionary computation is associated with systems that use computational models of evolutionary processes as the key elements in design and implementation, i.e. computational techniques which are based to some degree on the evolution of biological life in the natural world. A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, evolution strategies, evolutionary programming and swarm intelligence. These techniques form the basis of several disciplines such as artificial life and evolutionary robotics. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of evolvable systems, both theoretically and in a broad range of application fields. CONFERENCE AREAS Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. THEORY AND METHODS 2. APPLICATIONS AREA 1: THEORY AND METHODS Memetic Algorithms Evolutionary Search and Meta-Heuristics Representation Techniques Co-Evolution and Collective Behavior Genetic Algorithms Evolutionary Multi-Objective Optimization Swarm/Collective Intelligence Evolutionary Learning Systems Evolvable/Adaptive Hardware and Systems Hyperheuristics Genetic Programming Hybrid Neuro/Genetic, Fuzzy/Genetic Systems Evolutionary Algorithm Configuration (EA for AutoML) Automatic Algorithm Selection / Design for Evolutionary Computation Behavior Analysis of Evolutionary Algorithms Benchmarking Theory of Evolutionary Algorithms AREA 2: APPLICATIONS Games and Entertainment Technologies Evolutionary Robotics Industrial and Real World Applications
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