Developing Effective Optimization Techniques for Transportation and Assignment Concerns presents innovative solutions to two of the most significant challenges in operations research. Moving beyond traditional approaches, this book introduces an enhanced Vogel’s Approximation Method, a statistical model using log-normal distribution, and a modified genetic algorithm to achieve greater accuracy, efficiency, and adaptability in solving transportation and assignment problems. Blending classical techniques with fresh strategies, it demonstrates how these methods can improve logistics, resource allocation, and decision-making in both theoretical and real-world contexts, making it an essential resource for students, researchers, and professionals seeking smarter optimization techniques.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Developing Effective Optimization Techniques for Transportation and Assignment Concerns presents innovative solutions to two of the most significant challenges in operations research. Moving beyond traditional approaches, this book introduces an enhanced Vogel's Approximation Method, a statistical model using log-normal distribution, and a modified genetic algorithm to achieve greater accuracy, efficiency, and adaptability in solving transportation and assignment problems. Blending classical techniques with fresh strategies, it demonstrates how these methods can improve logistics, resource allocation, and decision-making in both theoretical and real-world contexts, making it an essential resource for students, researchers, and professionals seeking smarter optimization techniques. Nº de ref. del artículo: 9789999331012
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Taschenbuch. Condición: Neu. Developing Effective Optimization Techniques for Transportation and Assignment Concerns | S. B. R. D. Dhananjalee | Taschenbuch | Englisch | 2025 | Eliva Press | EAN 9789999331012 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134576596
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