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A Local Search-Based Generalized Normal Distribution Algorithm for Permutation Flow Shop Scheduling

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This paper studies the generalized normal distribution algorithm (GNDO) performance for tackling the permutation flow shop scheduling problem (PFSSP). Because PFSSP is a discrete problem and GNDO generates continuous values. the largest ranked value rule is used to convert those continuous values into discrete ones to make GNDO applicable for solving this discrete problem. Additionally. https://balboasurfandsstylers.shop/product-category/kids-accessories/
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