Applied Supply Chain Models

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Bol This book presents the theory and applications of Genetic Algorithms (GA) for optimization. It explores binary and real-coded GAs, elitist strategies, hybrid approaches using orthogonal arrays, and constraint handling through penalty methods. It examines multi-objective optimization techniques, compares VEGA and MOGA, and applies MOGA to a fuzzy multi-objective supply chain model, demonstrating efficient solutions under uncertainty and diverse Pareto-optimal outcomes.

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This book presents the theory and applications of Genetic Algorithms (GA) for optimization. It explores binary and real-coded GAs, elitist strategies, hybrid approaches using orthogonal arrays, and constraint handling through penalty methods. It examines multi-objective optimization techniques, compares VEGA and MOGA, and applies MOGA to a fuzzy multi-objective supply chain model, demonstrating efficient solutions under uncertainty and diverse Pareto-optimal outcomes.

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Pages: 124, Paperback, LAP Lambert Academic Publishing


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Merk LAP LAMBERT Academic Publishing
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  • 9786630176438
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