The 8th International Conference on Evolutionary Computation Theory and Applications – ECTA 2016

Країна: Португалія

Місто: Porto

Тези до: 12.05.2016

Дати: 09.11.16 — 11.11.16

Область наук: Фізико-математичні;

Е-мейл Оргкомітету:

Організатори: Polytechnic Institute of Setúbal


Considered a subfield of computational intelligence focused on combinatorial optimization 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, the evolution strategy, 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. ECTA welcomes both theoretical research and practical applications.

The conference also aims to foster hybrid approaches within evolutionary computation and also involving fuzzy computation and neural computation.

ECTA is part of IJCCI, the 8th International Joint Conference on Computational Intelligence.

IJCCI 2016 will be held in conjunction with IC3K 2016.


    Genetic Algorithms
    Machine Learning
    Artificial Life
    Representation Techniques
    Evolutionary Multiobjective Optimization
    Game Theory and Applications
    Evolution Strategies
    Evolutionary Robotics and Intelligent Agents
    Society and Cultural Aspects of Evolution
    Co-evolution and Collective Behavior
    Biocomputing and Complex Adaptive Systems
    Bio-inspired Hardware and Networks
    Swarm/Collective Intelligence
    Evolutionary Art and Design
    Hybrid Systems
    Memetic Algorithms
    Genetic Programming

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