Cost-benefit investigation of a Genetic-Programming Hyperheuristic

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

@InProceedings{keller07:_cost_genet_progr_hyper,

• author = "Robert E. Keller and Riccardo Poli",
• title = "Cost-benefit investigation of a Genetic-Programming Hyperheuristic",
• booktitle = "Evolution Artificielle, 8th International Conference",
• editor = "Nicolas Monmarche and El-Ghazali Talbi and Pierre Collet and Marc Schoenauer and Evelyne Lutton",
• volume = "4926",
• year = "2007",
• series = "Lecture Notes in Computer Science",
• pages = "13--24",
• address = "Tours, France",
• month = "29-31 " # oct,
• publisher = "Springer",
• note = "Revised Selected Papers",
• keywords = "genetic algorithms, genetic programming, grammar",
• isbn13 = "978-3-540-79304-5",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• DOI = "doi:10.1007/978-3-540-79305-2_2",
• abstract = "in previous work, we have introduced an effective, grammar-based, linear Genetic-Programming hyperheuristic, i.e., a search heuristic on the space of heuristics. Here we further investigate this approach in the context of search performance and resource usage. For the chosen realistic travelling salesman problems it shows that the hyperheuristic routinely produces metaheuristics that find tours whose lengths are highly competitive with the best results from literature, while population size, genotype size, and run time can be kept very moderate.",
• notes = "EA'07",

}

Genetic Programming entries for Robert E Keller Riccardo Poli

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