A Study of Diversity in Multipopulation Genetic Programming

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

@InProceedings{tomassini:2003:EA,

• author = "Marco Tomassini and Leonardo Vanneschi and Francisco Fernandez and German Galeano",
• title = "A Study of Diversity in Multipopulation Genetic Programming",
• booktitle = "Evolution Artificielle, 6th International Conference",
• year = "2003",
• editor = "Pierre Liardet and Pierre Collet and Cyril Fonlupt and Evelyne Lutton and Marc Schoenauer",
• volume = "2936",
• series = "Lecture Notes in Computer Science",
• pages = "243--255",
• address = "Marseilles, France",
• month = "27-30 " # oct,
• publisher = "Springer",
• note = "Revised Selected Papers",
• keywords = "genetic algorithms, genetic programming, Artificial Evolution",
• ISBN = "3-540-21523-9",
• URL = "http://personal.disco.unimib.it/Vanneschi/EA_2003_Diversity.pdf",
• DOI = "doi:10.1007/b96080",
• DOI = "doi:10.1007/978-3-540-24621-3_20",
• size = "13 pages",
• abstract = "using multiple communicating populations instead of a single panmictic one may help in maintaining diversity during GP runs. After defining suitable genotypic and phenotypic diversity measures, we apply them to three standard test problems. The experimental results indicate that using multiple populations helps in maintaining phenotypic diversity. We hypothesise that this could be one of the reasons for the better performance observed for distributed GP with respect to panmictic GP. Finally, we trace a sort of history of the optimum individual for a set of distributed GP runs, trying to understand the dynamics that help in maintaining diversity in distributed GP.",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• notes = "EA'03",

}

Genetic Programming entries for Marco Tomassini Leonardo Vanneschi Francisco Fernandez de Vega German Galeano

Citations