Parameter Mapping: A genetic programming approach to function optimization

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@Article{Pujol:2008:IJKBIES,

• author = "Joao Carlos Figueira Pujol and Riccardo Poli",
• title = "Parameter Mapping: A genetic programming approach to function optimization",
• journal = "International Journal of Knowledge-Based and Intelligent Engineering Systems",
• year = "2008",
• volume = "12",
• number = "1",
• pages = "29--45",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1327-2314",
• publisher = "IOS Press",
• URL = "http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00138",
• DOI = "doi:10.3233/KES-2008-12104",
• size = "17 pages",
• abstract = "This paper describes a new approach to optimisation that uses a novel representation for the parameters to be optimized. By using genetic programming, the method evolves a population of functions. The purpose of such functions is to transform initial random values of the parameters into better ones. The representation is, in principle, independent of the size of the problem being addressed. Promising results are reported, comparing the new method with differential evolution, particle swarm optimisation, and genetic algorithms, on a test suite of benchmark problems.",
• notes = "KES",

}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli

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