A study of genetic programming variable population size for dynamic optimization problems

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Abstract

A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. problems where target functions change with time). The suitability of this model is tested on a set of benchmarks based on some well known symbolic regression problems. Experimental results confirm that our variable size population model finds solutions of similar quality to the ones found by standard Genetic Programming, but with a smaller amount of computational effort.
Original languageUnknown
Title of host publicationIJCCI 2009: Proceedings of the International Joint Conference on Computational Intelligence
EditorsA Dourado, A Rosa, K Madani
Place of PublicationSetubal
PublisherINSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION
Pages119-126
ISBN (Print)978-989-674-014-6
Publication statusPublished - 1 Jan 2009

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