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A Study concerning the application of Genetic Algorithms for solving the Multi-Objective Hybrid Flowshop Scheduling Problem

Eduardo C. de SiqueiraRodney O. M. DianaMarcone J. F. SouzaSérgio R. de Souza

This article shows the implementations of two metaheuristics basedon genetic algorithms for solving the Multi-Objective Hybrid FlowshopScheduling Problem. The implemented metaheuristics are NSGA-II and SPEA2and both are known as second generation methods of evolutionary multi-objetivealgorithms. The uniform crossover was used for the two metaheuristics. In addition,four different mutation operators are used. The implemented algorithmsdiffer mainly by the mechanisms of evaluation and selection. For evaluation, thehyper-volume and epsilon metrics are used. The found results show the superiorbehavior of NSGA-II over SPEA2.

http://www.lbd.dcc.ufmg.br/colecoes/eniac/2016/026.pdf

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