Diversity analysis in cellular and multipopulation genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{folino:2003:daicamgp,
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author = "G. Folino and C. Pizzuti and G. Spezzano and
L. Vanneschi and M. Tomassini",
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title = "Diversity analysis in cellular and multipopulation
genetic programming",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "305--311",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming, Computer
science, Convergence, Costs, Evolutionary computation,
Genetic mutations, Measurement standards, Performance
analysis, Size measurement, Testing, convergence,
parallel algorithms, statistical analysis, cellular
genetic programming, convergence, diversity analysis,
diversity measures, evolution, multipopulation genetic
programming, parallel genetic programming model,
population diversity",
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URL = "http://www.icar.cnr.it/pizzuti/cec03.pdf",
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DOI = "doi:10.1109/CEC.2003.1299589",
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ISBN = "0-7803-7804-0",
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abstract = "parallel genetic programming (GP) models in
maintaining diversity in a population. The parallel
models used are the cellular and the multipopulation
one. Several measures of diversity are considered to
gain a deeper understanding of the conditions under
which the evolution of both models is successful. Three
standard test problems are used to illustrate the
different diversity measures and analyse their
correlation with performance. Results show that
diversity is not necessarily synonym of good
convergence.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Gianluigi Folino
Clara Pizzuti
Giandomenico Spezzano
Leonardo Vanneschi
Marco Tomassini
Citations