Experimental Study of Isolated Multipopulation Genetic Programming

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

@InProceedings{fernandez:2000:esimgp,

• author = "Francisco Fernandez and Marco Tomassini and J. M. Sanchez",
• title = "Experimental Study of Isolated Multipopulation Genetic Programming",
• booktitle = "Proceedings of the 26th Annual Conference of the IEEE Industrial Electronics Society",
• volume = "1697",
• pages = "2672--2677 vol.4",
• publisher = "IEEE Press",
• ISBN = "0-7803-6456-2",
• year = "2000",
• month = oct,
• address = "Nagoya, Japan",
• keywords = "genetic algorithms, genetic programming, classic genetic programming, effort, fitness, individual distribution, isolated multipopulation genetic programming, populations",
• URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00972420",
• DOI = "doi:10.1109/IECON.2000.972420",
• abstract = "In this paper we present results obtained when comparing classic genetic programming (GP) with the isolated multipopulation version. Our first discovery was that sometimes, given a certain number of individuals, it is useful to distribute them among several populations even when no communication is allowed. This consequently lead to research concentrating on three main questions: firstly, how to distribute individuals according to the problem in hand; secondly, how many populations must be employed in proportion to the effort and fitness involved when solving a problem; and finally, how to use isolated multipopulation GP in the classification of problems.",

}

Genetic Programming entries for Francisco Fernandez de Vega Marco Tomassini Juan Manuel Sanchez Perez

Citations