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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Dr. Sandesh Kurade is an Associate Professor in the Department of Statistics at MES Abasaheb Garware College, Pune. He holds M.Sc., M.Phil., and Ph.D. degrees from Savitribai Phule Pune University. He has authored more than 12 research papers and two national-level books. His primary research interests include optimization of supply chain models.
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