An Effective Diversity Promotion Mechanism in Grammatical Evolution

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

@InProceedings{Medvet:2017:GECCOb,

• author = "Eric Medvet and Alberto Bartoli and Giovanni Squillero",
• title = "An Effective Diversity Promotion Mechanism in Grammatical Evolution",
• 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 = "247--248",
• size = "2 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3076057",
• DOI = "doi:10.1145/3067695.3076057",
• acmid = "3076057",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, diversity, locality, performance, representation",
• month = "15-19 " # jul,
• abstract = "Grammatical Evolution is an Evolutionary Algorithm which can evolve programs in any language described by a context-free grammar. A sequence of bits (the genotype) is transformed into a string of the language (the phenotype) by means of a mapping function, and eventually into a fitness value. Unfortunately the flexibility brought by the mapping is also likely to introduce non-locality phenomena, reduce diversity, and consequently hamper the effectiveness of the algorithm. In this paper, we propose a novel technique for promoting diversity, able to operate on three different levels: genotype, phenotype, and fitness. The technique is quite general, independent both from the specific problem being tackled and from other components of the evolutionary algorithm, such as genotype-phenotype mapping, selection criteria, and genetic operators. We experimentally demonstrate its efficacy in a wide range of conditions and from different points of view. The results also confirm the preponderant importance of the phenotype-level analyses in diversity promotion.",
• notes = "Also known as \cite{Medvet:2017:EDP:3067695.3076057} 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 Eric Medvet Alberto Bartoli Giovanni Squillero

Citations