Asynchronous Evolution by Reference-based Evaluation: Tertiary Parent Selection and its Archive

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{harada:2014:EuroGP,

• author = "Tomohiro Harada and Keiki Takadama",
• title = "Asynchronous Evolution by Reference-based Evaluation: Tertiary Parent Selection and its Archive",
• booktitle = "17th European Conference on Genetic Programming",
• year = "2014",
• editor = "Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. {Rivas Santos} and Kevin Sim",
• series = "LNCS",
• volume = "8599",
• publisher = "Springer",
• pages = "198--209",
• address = "Granada, Spain",
• month = "23-25 " # apr,
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming :poster",
• isbn13 = "978-3-662-44302-6",
• DOI = "doi:10.1007/978-3-662-44303-3_17",
• abstract = "This paper proposes a novel asynchronous reference-based evaluation (named as ARE) for an asynchronous EA that evolves individuals independently unlike general EAs that evolve all individuals at the same time. ARE is designed for an asynchronous evolution by tertiary parent selection and its archive. In particular, ARE asynchronously evolves individuals through a comparison with only three of individuals (i.e., two parents and one reference individual as the tertiary parent). In addition, ARE builds an archive of good reference individuals. This differ from synchronous evolution in EAs in which selection involves comparison with all population members. In this paper, we investigate the effectiveness of ARE, by applying it to some standard problems used in Linear GP that aim being to minimise the execution step of machine-code programs. We compare GP using ARE (ARE-GP) with steady state (synchronous) GP (SSGP) and our previous asynchronous GP (Tierra-based Asynchronous GP: TAGP). The experimental results have revealed that ARE-GP not only asynchronously evolves the machine-code programs, but also outperforms SSGP and TAGP in all test problems.",
• notes = "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014 and EvoApplications2014",

}

Genetic Programming entries for Tomohiro Harada Keiki Takadama

Citations