The effect of population enrichment in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8187

@InProceedings{Perry:popGP,

• author = "John E. Perry",
• title = "The effect of population enrichment in genetic programming",
• booktitle = "Proceedings of the 1994 IEEE World Congress on Computational Intelligence",
• year = "1994",
• volume = "1",
• pages = "456--461",
• address = "Orlando, Florida, USA",
• month = "27-29 " # jun,
• publisher = "IEEE Press",
• DOI = "doi:10.1109/ICEC.1994.349907",
• keywords = "genetic algorithms, genetic programming",
• size = "6 pages",
• abstract = "The paper examines the effect of population enrichment in genetic programming as a means of efficiently discovering promising directions for solution exploration in a large problem space. With genetic programming it is advantageous to not restrict the size or shape of the solution and enrichment offers an efficient way to present the initial population with interesting options for development. Multiple abbreviated runs were made, using different random seeds, to keep the size of the members small and save processing time. The best member from each abbreviated run was used to create an enriched population which was loaded along with a full complement of randomly generated unique members at the beginning of a consolidated run",
• notes = "GP betting on horse races! 40 runs with pop of 2000 but only run for 3 generations. Best of each of these loaded into consolidated run with other 1960 members of population generated at random. Whole run for 50 generations. Works better than 3 traditional runs.",

}

Genetic Programming entries for John E Perry

Citations