The Automatic Generation of Programs for Classification Problems with Grammatical Swarm

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@InProceedings{oneill:2004:tagopfcpwgs,

• title = "The Automatic Generation of Programs for Classification Problems with Grammatical Swarm",
• author = "Michael O'Neill and Anthony Brabazon and Catherine Adley",
• pages = "104--110",
• booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
• year = "2004",
• publisher = "IEEE Press",
• month = "20-23 " # jun,
• address = "Portland, Oregon",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, Swarm Intelligence, gramatical evolution",
• DOI = "doi:10.1109/CEC.2004.1330844",
• abstract = "This case study examines the application of Grammatical Swarm to classification problems, and illustrates the Particle Swarm algorithms' ability to specify the construction of programs. Each individual particle represents choices of program construction rules, where these rules are specified using a Backus-Naur Form grammar. Two problem instances are tackled, for the first problem we generate solutions that take the form of conditional statements in a C-like language subset, and for the second problem we generate simple regular expressions. The results demonstrate that it is possible to generate programs using the Grammatical Swarm technique with a performance similar to the Grammatical Evolution evolutionary automatic programming approach.",
• notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.",

}

Genetic Programming entries for Michael O'Neill Anthony Brabazon Catherine Adley

Citations