Learning Offspring Optimizing Mate Selection

Author

Ekaterina A. Holdener
Daniel R. Tauritz, Missouri University of Science and TechnologyFollow

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