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A Structured-Population Genetic-Algorithm based on Hierarchical Hypercube of Genes Expressions
2013
International Journal of Computer Applications
Structured-population Genetic Algorithm (GA) usually leads to more superior performance than the panmictic genetic algorithm; since it can control two opposite processes, namely exploration and exploitation in the search space. Several spatially structured-population GAs have been introduced in the literature such as cellular, patchwork, island-model, terrain-based A, graph-based, religion-based and social-based GA. All the aforementioned works did not construct the subpopulations based on the
doi:10.5120/10775-4446
fatcat:7j7poqf4kzbnfocrigwprrtfru