Parallel hybrid evolutionary computation: Automatic tuning of parameters for parallel gene expression programming
نویسندگان
چکیده
In this talk I present a parallel hybrid framework that combines gene expression programming (GEP) as the evolutionary problemsolving methodology and alternative metaheuristics for tuning parameter values of parallel GEP runs. The implementation of our framework is based on a clientserver architecture, including clients that use GEP to evolve candidate solutions for the problem in question, and clients that use (possibly) other metaheuristics to tune GEP input parameters. We have used a suite of symbolic regression problems of different complexities to test this framework. Our 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.
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ورودعنوان ژورنال:
- Applied Mathematics and Computation
دوره 201 شماره
صفحات -
تاریخ انتشار 2008