Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Applied Supply Chain Models (Paperback)
Publisher: LAP Lambert Academic Publishing
Publication Date: 2026
Language: English
ISBN 10: 663017643X
ISBN 13: 9786630176438
Binding: Paperback
Condition: new

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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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