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{ "item_title" : "Developing Effective Optimization Techniques for Transportation and Assignment Concerns", "item_author" : [" S. B. R. D. Dhananjalee "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/99/933/101/9999331017_b.jpg", "price_data" : { "retail_price" : "54.50", "online_price" : "54.50", "our_price" : "54.50", "club_price" : "54.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Developing Effective Optimization Techniques for Transportation and Assignment Concerns|S. B. R. D. Dhananjalee

Developing Effective Optimization Techniques for Transportation and Assignment Concerns

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Overview

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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Details

  • ISBN-13: 9789999331012
  • ISBN-10: 9999331017
  • Publisher: Eliva Press
  • Publish Date: January 2025
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.43 pounds
  • Page Count: 138

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