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• W2021743472 abstract "In this paper, we modify a Multi-Objective Evolutionary Algorithm, known as Nondominated sorting Genetic Algorithm-II (NSGA-II) for a parallel machine scheduling problem with three objectives. The objectives are – (1) minimization of total cost due tardiness, (2) minimization of the deterioration cost and (3) minimization of makespan. The formulated problem has been solved by three Multi-Objective Evolutionary Algorithms which are: (1) the original NSGA-II (Non-dominated Sorting Genetic Algorithm–II), (2) SPEA2 (Strength Pareto Evolutionary Algorithm-2) and (3) a modified version of NSGA-II as proposed in this paper. A new mutation algorithm has also been proposed depending on the type of problem and embedded in the modified NSGA-II. The results of the three algorithms have been compared and conclusions have been drawn. The modified NSGA-II is observed to perform better than the original NSGA-II. Besides, the proposed mutation algorithm also works effectively, as evident from the experimental results." @default.
• W2021743472 created "2016-06-24" @default.
• W2021743472 creator A5034524191 @default.
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• W2021743472 date "2013-06-01" @default.
• W2021743472 modified "2023-10-17" @default.
• W2021743472 title "Solving multi-objective parallel machine scheduling problem by a modified NSGA-II" @default.
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• W2021743472 doi "https://doi.org/10.1016/j.apm.2013.01.050" @default.
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