Parallel hybrid evolutionary computation: Automatic tuning of parameters for parallel gene expression programming

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@Article{Park2008108,

• author = "Ho-Hyun Park and Alexandre Grings and Marcus Vinicius {dos Santos} and Alexsandro {Santos Soares}",
• title = "Parallel hybrid evolutionary computation: Automatic tuning of parameters for parallel gene expression programming",
• journal = "Applied Mathematics and Computation",
• volume = "201",
• number = "1-2",
• pages = "108--120",
• year = "2008",
• ISSN = "0096-3003",
• DOI = "doi:10.1016/j.amc.2007.12.002",
• URL = "http://www.sciencedirect.com/science/article/B6TY8-4R9GGNR-5/2/1b7f3e28f519ab74f07585e7e5dfaf6d",
• keywords = "genetic algorithms, genetic programming, gene expression programming, Evolutionary computation, Parallel architectures, Optimization techniques, Mathematical modeling",
• abstract = "A parallel hybrid framework that combines gene expression programming (GEP) as the evolutionary problem-solving methodology and alternative meta-heuristics for tuning parameter values of the parallel GEP runs is presented. The implementation of this framework is based on a client-server architecture which includes clients that use GEP to evolve candidate solutions for the problem in question, and clients that use (possibly) other meta-heuristics to tune GEP input parameters. In the implementation of this framework, a genetic algorithms methodology is used for parameter tuning. For testing the framework and its implementation, a suite of symbolic regression problems of different complexities is used. Our experimental results show that our approach provides a solution for the problem of automatically tuning two GEP input parameters, viz., the number of genes and the length of each gene.",

}

Genetic Programming entries for Ho-Hyun Park Alexandre Grings Marcus Vinicius dos Santos Alexsandro Santos Soares

Citations