Analyzing the Founder Effect in Simulated Evolutionary Processes Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{HreFer02,

• author = "Candida Ferreira",
• title = "Analyzing the Founder Effect in Simulated Evolutionary Processes Using Gene Expression Programming",
• booktitle = "Soft Computing Systems: Design, Management and Applications",
• year = "2002",
• editor = "A. Abraham and J. Ruiz-del-Solar and M. K{\"o}ppen",
• pages = "153--162",
• organisation = "Gepsoft",
• publisher = "IOS Press",
• keywords = "genetic algorithms, genetic programming, Gene Expression Programming",
• ISBN = "1-58603-297-6",
• URL = "http://www.gene-expression-programming.com/webpapers/ferreira-his02.pdf",
• size = "10 pages",
• abstract = "Gene expression programming is a genotype/phenotype system that evolves computer programs encoded in linear chromosomes of fixed length. The interplay between genotype (chromosomes) and phenotype (expression trees) is made possible by the structural and functional organisation of the linear chromosomes. This organization allows the unconstrained operation of important genetic operators such as mutation, transposition, and recombination. Although simple, the genotype/phenotype system of gene expression programming can provide some insights into natural evolutionary processes. In this work the question of the initial diversity in evolving populations of computer programs is addressed by analysing populations undergoing either mutation or recombination. The results presented here show that populations undergoing mutation recover practically undisturbed from evolutionary bottlenecks whereas populations undergoing recombination alone depend considerably on the size of the founder population and are unable to evolve efficiently if subjected to really tight bottlenecks.",

}

Genetic Programming entries for Candida Ferreira

Citations