Program Evolution by Integrating EDP and GP

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{yanai:peb:gecco2004,

• author = "Kohsuke Yanai and Hitoshi Iba",
• title = "Program Evolution by Integrating EDP and GP",
• 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 = "774--785",
• 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",
• DOI = "doi:10.1007/b98643",
• URL = "http://www.iba.k.u-tokyo.ac.jp/papers/2004/yanaiGECCO2004.pdf",
• size = "12",
• keywords = "genetic algorithms, genetic programming",
• abstract = "This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the probabilistic model, where the probability distribution of a program is estimated by using a Bayesian network, and a population evolves repeating estimation of distribution and program generation without crossover and mutation. Applying the hybrid system of EDP and GP to various problems, we discovered some important tendencies in the behavior of this hybrid system. The hybrid system was not only superior to pure GP in a search performance but also had interesting features in program evolution. More tests revealed how and when EDP and GP compensate for each other. We show some experimental results of program evolution by the hybrid system and discuss the characteristics of both EDP and GP.",
• 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 Kohsuke Yanai Hitoshi Iba

Citations