Diversity analysis in cellular and multipopulation genetic programming

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

@InProceedings{folino:2003:daicamgp,

• author = "G. Folino and C. Pizzuti and G. Spezzano and L. Vanneschi and M. Tomassini",
• title = "Diversity analysis in cellular and multipopulation genetic programming",
• booktitle = "Proceedings of the 2003 Congress on Evolutionary Computation CEC2003",
• editor = "Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon",
• pages = "305--311",
• year = "2003",
• publisher = "IEEE Press",
• address = "Canberra",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• month = "8-12 " # dec,
• organisation = "IEEE Neural Network Council (NNC), Engineers Australia (IEAust), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
• 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",
• URL = "http://www.icar.cnr.it/pizzuti/cec03.pdf",
• DOI = "doi:10.1109/CEC.2003.1299589",
• ISBN = "0-7803-7804-0",
• 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.",
• 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