Evolutionary Operator Self-Adaptation with Diverse Operators

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

@InProceedings{kim:2012:EuroGP,

• author = "MinHyeok Kim and Robert Ian (Bob) McKay and Dong-Kyun Kim and Xuan Hoai Nguyen",
• title = "Evolutionary Operator Self-Adaptation with Diverse Operators",
• booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
• year = "2012",
• month = "11-13 " # apr,
• editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
• series = "LNCS",
• volume = "7244",
• publisher = "Springer Verlag",
• address = "Malaga, Spain",
• pages = "230--241",
• organisation = "EvoStar",
• isbn13 = "978-3-642-29138-8",
• DOI = "doi:10.1007/978-3-642-29139-5_20",
• keywords = "genetic algorithms, genetic programming, Adaptive operator selection, Adaptive pursuit, Probability matching, Multi-armed bandit, Evolutionary algorithm",
• abstract = "Operator adaptation in evolutionary computation has previously been applied to either small numbers of operators, or larger numbers of fairly similar ones. This paper focuses on adaptation in algorithms offering a diverse range of operators. We compare a number of previously-developed adaptation strategies, together with two that have been specifically designed for this situation. Probability Matching and Adaptive Pursuit methods performed reasonably well in this scenario, but a strategy combining aspects of both performed better. Multi-Arm Bandit techniques performed well when parameter settings were suitably tailored to the problem, but this tailoring was difficult, and performance was very brittle when the parameter settings were varied.",
• notes = "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012 and EvoApplications2012",

}

Genetic Programming entries for MinHyeok Kim R I (Bob) McKay Dong-Kyun Kim Nguyen Xuan Hoai

Citations