A Java Implementation of the SGA, UMDA, ECGA, and HBOA

June 26, 2015 · Entered Twilight · 🏛 arXiv.org

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Repo contents: 01_SGA2015, 02_UMDA2015, 03_ECGA2015, 04_HBOA2015, LICENSE.txt

Authors José C. Pereira, Fernando G. Lobo arXiv ID 1506.07980 Category cs.NE: Neural & Evolutionary Cross-listed cs.MS Citations 1 Venue arXiv.org Repository https://github.com/JoseCPereira/2015EvolutionaryAlgorithmsJava ⭐ 12 Last Checked 4 months ago

Abstract

The Simple Genetic Algorithm, the Univariate Marginal Distribution Algorithm, the Extended Compact Genetic Algorithm, and the Hierarchical Bayesian Optimization Algorithm are all well known Evolutionary Algorithms. In this report we present a Java implementation of these four algorithms with detailed instructions on how to use each of them to solve a given set of optimization problems. Additionally, it is explained how to implement and integrate new problems within the provided set. The source and binary files of the Java implementations are available for free download at https://github.com/JoseCPereira/2015EvolutionaryAlgorithmsJava.