Monitoring Genetic Variations in Variable Length Evolutionary Algorithms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Defoin-Platel:2006:HIS,
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author = "M. D. Platel and M. Clergue",
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title = "Monitoring Genetic Variations in Variable Length
Evolutionary Algorithms",
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booktitle = "Sixth International Conference on Hybrid Intelligent
Systems, HIS '06",
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year = "2006",
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pages = "4--4?",
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address = "Rio de Janeiro, Brazil",
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month = dec,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, bloat",
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ISBN = "0-7695-2662-4",
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DOI = "doi:10.1109/HIS.2006.264887",
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abstract = "Initially, Artificial Evolution focuses on
Evolutionary Algorithms handling solutions coded in
fixed length structures. In this context, the role of
crossover is clearly the mixing of information between
solutions. The development of Evolutionary Algorithms
operating on structures with variable length, of which
genetic programming is one of the most representative
instances, opens new questions on the effects of
crossover. Beside mixing, two new effects are
identified : the diffusion of information inside
solutions and the variation of the solutions sizes. In
this paper, we propose a experimental framework to
study these three effects and apply it on three
different crossovers for genetic programming : the
Standard Crossover, the One-Point Crossover and the
Maximum Homologous Crossover. Exceedingly different
behaviours are reported leading us to consider the
necessary future decoupling of the mixing, the
diffusion and the size variation.",
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notes = "Laboratoire d'Oceanographie de Villefranche (LOV),
France;",
- }
Genetic Programming entries for
Michael Defoin Platel
Manuel Clergue
Citations