Characterizing Diversity in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{eurogp06:WynsDeBruyneBoullart,
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author = "Bart Wyns and Peter {De Bruyne} and Luc Boullart",
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title = "Characterizing Diversity in Genetic Programming",
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editor = "Pierre Collet and Marco Tomassini and Marc Ebner and
Steven Gustafson and Anik\'o Ek\'art",
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booktitle = "Proceedings of the 9th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3905",
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year = "2006",
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address = "Budapest, Hungary",
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month = "10 - 12 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-33143-3",
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pages = "250--259",
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DOI = "doi:10.1007/11729976_22",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "In many evolutionary algorithms candidate solutions
run the risk of getting stuck in local optima after a
few generations of optimisation. In this paper two
improved approaches to measure population diversity are
proposed and validated using two traditional test
problems in genetic programming literature. Code growth
gave rise to improve pseudo-isomorph measures by
eliminating non-functional code using an expression
simplifier. Also, Rosca's entropy to measure
behavioural diversity is updated to cope with problems
producing a more continuous fitness value. Results show
a relevant improvement with regard to the original
diversity measures.",
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notes = "Part of \cite{collet:2006:GP} EuroGP'2006 held in
conjunction with EvoCOP2006 and EvoWorkshops2006",
- }
Genetic Programming entries for
Bart Wyns
Peter De Bruyne
Luc Boullart
Citations