Geometric Unification of Evolutionary Algorithms

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

@InProceedings{Moraglio:2005:evophd,

• author = "Alberto Moraglio",
• title = "Geometric Unification of Evolutionary Algorithms",
• booktitle = "European Graduate Student Workshop on Evolutionary Computation",
• year = "2006",
• editor = "Mario Giacobini and Jano {van Hemert}",
• pages = "45--58",
• address = "Budapest, Hungary",
• month = "10 " # apr,
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.vanhemert.co.uk/publications/EvoPhD2006.pdf",
• size = "14 pages",
• abstract = "Evolutionary algorithms are only superficially different and can be unified within an axiomatic geometric framework by abstraction of the solution representation. This framework describes the evolutionary search in a representation-independent way, purely in geometric terms, paving the road to a general theory of evolutionary algorithms. It also leads to a principled design methodology for the crossover operator for any solution representation.",
• notes = "broken Jan 2021 http://evonet.lri.fr/eurogp2006/?page=evophd",

}

Genetic Programming entries for Alberto Moraglio

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