Crossover, population dynamics, and convergence in the GAuGE system

1Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents a study of the effectiveness of a recently presented crossover operator for the GAuGE system. This crossover, unlike the traditional crossover employed previously, preserves the association of positions and values which exists in GAuGE genotype strings, and as such is more adequate for problems where the meaning of an allele is dependent on its placement in the phenotype string. Results obtained show that the new operator improves the performance of the GAuGE system on simple binary problems, both when position-sensitive data is manipulated and not. © Springer-Verlag Berlin Heidelberg 2004.

Cite

CITATION STYLE

APA

Nicolau, M., & Ryan, C. (2004). Crossover, population dynamics, and convergence in the GAuGE system. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3102, 1414–1425. https://doi.org/10.1007/978-3-540-24854-5_134

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free