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Article
Learning Offspring Optimizing Mate Selection
Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation
  • Ekaterina A. Holdener
  • Daniel R. Tauritz, Missouri University of Science and Technology
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.

Department(s)
Computer Science
Keywords and Phrases
  • Offspring Optimization,
  • Parent Selection
Library of Congress Subject Headings
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
7-1-2008
Disciplines
Citation Information
Ekaterina 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/