An Efficient New Scheme of Fitness Evaluation in Genetic Programming using the R Language

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@Article{Martinez:2016:ieeeLatin,

• author = "Carlos Alberto Martinez and Juan D. Velasquez",
• journal = "IEEE Latin America Transactions",
• title = "An Efficient New Scheme of Fitness Evaluation in Genetic Programming using the R Language",
• year = "2016",
• volume = "14",
• number = "4",
• pages = "1866--1869",
• abstract = "The aim of this paper is to propose and analyse several fitness evaluation schemes for solving regression problems using Genetic Programming. The proposed schemes are designed considering the particularities and characteristics of the R Language, and particularly the capacities of the language for matrix manipulation and mathematical expressions evaluation. Experimental results show that some the proposed schemes are able to reduce until 99percent the time spend in fitness evaluation in comparison with the original genetic programming implementation using a traditional tree structure.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/TLA.2016.7483527",
• ISSN = "1548-0992",
• month = apr,
• notes = "Also known as \cite{7483527}",

}

Genetic Programming entries for Carlos Alberto Martinez Juan David Velasquez Henao

Citations