Learning Offspring Optimizing Mate Selection
This 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.
E. A. Holdener and D. R. Tauritz, "Learning Offspring Optimizing Mate Selection," Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery (ACM), Jul 2008.
The definitive version is available at http://dx.doi.org/10.1145/1389095.1389302
Keywords and Phrases
Offspring Optimization; Parent Selection
Library of Congress Subject Headings
Article - Conference proceedings
© 2008 Association for Computing Machinery (ACM), All rights reserved.