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arXiv · 0801.3111

Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes

Martin Pelikan
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Abstract

This study analyzes performance of several genetic and evolutionary algorithms on randomly generated NK fitness landscapes with various values of n and k. A large number of NK problem instances are first generated for each n and k, and the global optimum of each instance is obtained using the branch-and-bound algorithm. Next, the hierarchical Bayesian optimization algorithm (hBOA), the univariate marginal distribution algorithm (UMDA), and the simple genetic algorithm (GA) with uniform and two-point crossover operators are applied to all generated instances. Performance of all algorithms is then analyzed and compared, and the results are discussed.

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Martin Pelikan. 2008-01-21. Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes. https://arxiv.org/abs/0801.3111

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