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: 14969   Tracked: 1   Attend: 0

Call For Papers
 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
Last updated by Dou Sun in 2026-03-31
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