Learning Offspring Optimizing Mate SelectionProceedings of the 10th Annual Conference on Genetic and Evolutionary Computation
AbstractThis poster paper presents a methodology for removing user-defined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pairs of mates.
Keywords and Phrases
- Offspring Optimization,
- Parent Selection
Library of Congress Subject HeadingsAlgorithms
Document TypeArticle - Conference proceedings
Rights© 2008 Association for Computing Machinery (ACM), All rights reserved.
Citation InformationEkaterina A. Holdener and Daniel R. Tauritz. "Learning Offspring Optimizing Mate Selection" Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation (2008)
Available at: http://works.bepress.com/daniel-tauritz/57/