Experimental Study of Isolated Multipopulation Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{fernandez:2000:esimgp,
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author = "Francisco Fernandez and Marco Tomassini and
J. M. Sanchez",
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title = "Experimental Study of Isolated Multipopulation Genetic
Programming",
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booktitle = "Proceedings of the 26th Annual Conference of the IEEE
Industrial Electronics Society",
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volume = "1697",
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pages = "2672--2677 vol.4",
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publisher = "IEEE Press",
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ISBN = "0-7803-6456-2",
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year = "2000",
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month = oct,
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address = "Nagoya, Japan",
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keywords = "genetic algorithms, genetic programming, classic
genetic programming, effort, fitness, individual
distribution, isolated multipopulation genetic
programming, populations",
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URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00972420",
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DOI = "doi:10.1109/IECON.2000.972420",
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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