Topological Interpretation of Crossover

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{moraglio:tio:gecco2004,

• author = "Alberto Moraglio and Riccardo Poli",
• title = "Topological Interpretation of Crossover",
• booktitle = "Genetic and Evolutionary Computation -- GECCO-2004, Part I",
• year = "2004",
• editor = "Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell",
• series = "Lecture Notes in Computer Science",
• pages = "1377--1388",
• address = "Seattle, WA, USA",
• publisher_address = "Heidelberg",
• month = "26-30 " # jun,
• organisation = "ISGEC",
• publisher = "Springer-Verlag",
• volume = "3102",
• ISBN = "3-540-22344-4",
• ISSN = "0302-9743",
• URL = "http://privatewww.essex.ac.uk/~amoragn/gecco2004fin.PDF",
• DOI = "doi:10.1007/b98643",
• DOI = "doi:10.1007/978-3-540-24854-5_131",
• size = "12",
• keywords = "genetic algorithms, genetic programming, geometric search",
• abstract = "In this paper we give a representation-independent topological definition of crossover that links it tightly to the notion of fitness landscape. Building around this definition, a geometric/topological framework for evolutionary algorithms is introduced that clarifies the connection between representation, genetic operators, neighbourhood structure and distance in the landscape. Traditional genetic operators for binary strings are shown to fit the framework. The advantages of this interpretation are discussed",
• notes = "GECCO-2004 A joint meeting of the thirteenth international conference on genetic algorithms (ICGA-2004) and the ninth annual genetic programming conference (GP-2004)",

}

Genetic Programming entries for Alberto Moraglio Riccardo Poli

Citations