Sciweavers

Share
CEC
2008
IEEE

Crossover operators to control size growth in linear GP and variable length GAs

9 years 4 months ago
Crossover operators to control size growth in linear GP and variable length GAs
— In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhibit large degrees of redundancy and corresponding undue growth. This phenomenon is commonly referred to as “bloat.” The present contribution investigates the role of crossover operators as the cause for length changes in variable length genetic algorithms and linear GP. Three crossover operators are defined; each is tested with three different fitness functions. The aim of this article is to indicate suitable designs of crossover operators that allow efficient exploration of designs of solutions of a wide variety of sizes, while at the same time avoiding bloat.
Dominique Chu, Jonathan E. Rowe
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CEC
Authors Dominique Chu, Jonathan E. Rowe
Comments (0)
books