Learning Offspring Optimizing Mate Selection
Abstract
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.
Recommended Citation
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 https://doi.org/10.1145/1389095.1389302
Department(s)
Computer Science
Keywords and Phrases
Offspring Optimization; Parent Selection; Algorithms; Mate selection
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2008 Association for Computing Machinery (ACM), All rights reserved.
Publication Date
01 Jul 2008
