A hybrid genetic algorithm for task allocation in multicomputers
A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. It minimizes the possibility of premature convergence and finds good solutions in a reasonable time. HGATA includes elitist ranking selection, variable rates for the genetic operators, the inversion op...
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| Format: | conferenceObject |
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2018
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| Online Access: | http://hdl.handle.net/10725/7957 http://dx.doi.org/10.13140/RG.2.1.3960.5608 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.researchgate.net/publication/201976071_A_Hybrid_Genetic_Algorithm_for_Task_Allocation_in_Multicomputers |
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