Late-acceptance Hill-climbing with a Grammatical Program Representation

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InProceedings{McDermott:2017:GECCO,

• author = "James McDermott and Miguel Nicolau",
• title = "Late-acceptance Hill-climbing with a Grammatical Program Representation",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "241--242",
• size = "2 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3075984",
• DOI = "doi:10.1145/3067695.3075984",
• acmid = "3075984",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, grammar, hill-climbing",
• month = "15-19 " # jul,
• abstract = "The late-acceptance hill-climbing (LAHC) metaheuristic is a stochastic hill-climbing algorithm with a simple history mechanism, proposed by Burke and Bykov in 2008, which seems to give a remarkable and reliable performance improvement relative to hill-climbing itself. LAHC is here used for the first time for genetic programming problems, with a grammatical encoding. A novel variant of LAHC with an initial random sampling is also proposed. Performance of both is competitive with full population-based search.",
• notes = "Also known as \cite{McDermott:2017:LHG:3067695.3075984} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for James McDermott Miguel Nicolau

Citations