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.

Citation

Le, K., & Landa-Silva, D. (2007, October). Adaptive and assortative mating scheme for evolutionary multi-objective algorithms. Presented at 8th International Conference, Evolution Artificielle, EA 2007, Tours, France

• Presentation Conference Type: Edited Proceedings
• Conference Name: 8th International Conference, Evolution Artificielle, EA 2007
• Start Date: Oct 29, 2007
• End Date: Oct 31, 2007
• Publication Date: Jun 9, 2008
• Deposit Date: Feb 10, 2020
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 172-183
• Series Title: Lecture Notes in Computer Science
• Series Number: 4926
• Series ISSN: 1611-3349
• Book Title: Artificial Evolution
• 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