Call for Papers
- EMO 2021 Call for Papers (PDF)
In 2021, the EMO conference will be held from March 28 to March 31 in Shenzhen, China.
EMO 2021 is the 11th Edition of International Conference Series on Evolutionary Multi- Criterion Optimization (EMO), aiming to continue the success of previous EMO conferences. EMO 2021 will bring together both the EMO, Multiple Criteria Decision-Making (MCDM) communities, and other related fields and, moreover, focusing on solving real-world problems in government, business and industry.
- EvoStar 2021 Call for Papers (PDF)
In 2021, EvoStar will be held from April 7 to April 9 in Seville, Spain.
EvoStar comprises of four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years.
- GECCO 2021 Call for Papers (PDF)
In 2021, GECCO will be held from July 10 to July 14 in Lille, France.
The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999. Topics include: genetic algorithms, genetic programming, ant colony optimization and swarm intelligence, complex systems (artificial life, robotics, evolvable hardware, generative and developmental systems, artificial immune systems), digital entertainment technologies and arts, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, evolutionary multiobjective optimization, evolutionary numerical optimization, real world applications, search-based software engineering, theory and more.
- FOGA 2021 Call for Papers (PDF)
In 2021, the FOGA conference will be held from September 6 to September 8 at Vorarlberg University of Applied Sciences in Dornbirn, Austria.
The FOGA conference series aims at advancing the understanding of the working principles behind Evolutionary Algorithms and related Randomized Search heuristics. It is a premier event to discuss advances in the theoretical foundations of these algorithms, corresponding tools and frameworks suitable to analyze them, and different aspects of comparing algorithm performance.