ECTA is part of IJCCI, the 15th International Joint Conference on Computational Intelligence. Registration to ECTA allows free access to all other IJCCI conferences.
IJCCI 2023 will be held in conjunction with ICINCO 2023, WEBIST 2023, IN4PL 2023 and IC3K 2023.
Registration to IJCCI allows free access to the ICINCO, WEBIST, IN4PL and IC3K conferences (as a non-speaker).
Although the conference is back to the normal mode (i.e., in-person) speakers are allowed to present remotely if unable to travel to the venue (hybrid support).
Considered a subfield of computational intelligence focused on combinatorial 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, 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.
Joaquim Filipe, Polytechnic Institute of Setubal / INSTICC, Portugal
Niki van Stein, Natural Computing, Leiden University, Netherlands
Hani Hagras, Computer Science, University of Essex, United KingdomAnastasios Tefas, Informatics, Aristotle University of Thessaloniki, GreeceSanaz Mostaghim, Computer Science, Otto-von-Guericke-Universität Magdeburg, GermanyNikolaus Hansen, Inria & Ecole Polytechnique & Institut Polytechnique de Paris, France
Structural Bias in Optimization Algorithms (IJCCI)Instructors: Anna V. Kononova, Diederick Vermetten, Niki van Stein and Fabio Caraffini
Publications:
A short list of presented papers will be selected
so that revised and extended versions of these
papers will be published by Springer in a
SCI Series book
Proceedings will be submitted for evaluation for indexing by: