Adaptive and assortative mating scheme for evolutionary multi-objective algorithms

Le, Khoi; Landa-Silva, Dario

Abstract

We are interested in the role of restricted mating schemes in the context of evolutionary multi-objective algorithms. In this paper, we propose an adaptive assortative mating scheme that uses similarity in the decision space (genotypic assortative mating) and adapts the mating pressure as the search progresses. We show that this mechanism improves the performance of the simple evolutionary algorithm for multi-objective optimisation (SEAMO2) on the multiple knapsack problem. © 2008 Springer-Verlag Berlin Heidelberg.

Citation

Le, K., & Landa-Silva, D. (2008). Adaptive and assortative mating scheme for evolutionary multi-objective algorithms. In Artificial Evolution: 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papers (172-183). Springer Verlag. https://doi.org/10.1007/978-3-540-79305-2_15

• Publication Date: Jun 9, 2008
• Deposit Date: Feb 10, 2020
• Publisher: Springer Verlag
• Pages: 172-183
• Series Title: Lecture Notes in Computer Science
• Series Number: 4926
• Book Title: Artificial Evolution: 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papers
• ISBN: 978-3-540-79304-5
• DOI: https://doi.org/10.1007/978-3-540-79305-2_15
• Public URL: https://nottingham-repository.worktribe.com/output/3088174
• Publisher URL: https://link.springer.com/chapter/10.1007%2F978-3-540-79305-2_15