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{ "item_title" : "Multi-Objective Combinatorial Optimization Problems and Solution Methods", "item_author" : [" Mehdi Toloo", "Siamak Talatahari", "Iman Rahimi "], "item_description" : "Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques. This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/12/823/799/0128237996_b.jpg", "price_data" : { "retail_price" : "170.00", "online_price" : "170.00", "our_price" : "170.00", "club_price" : "170.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multi-Objective Combinatorial Optimization Problems and Solution Methods|Mehdi Toloo

Multi-Objective Combinatorial Optimization Problems and Solution Methods

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Overview

Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques.

This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice.

This item is Non-Returnable

Details

  • ISBN-13: 9780128237991
  • ISBN-10: 0128237996
  • Publisher: Academic Press
  • Publish Date: February 2022
  • Dimensions: 9.25 x 7.5 x 0.66 inches
  • Shipping Weight: 1.2 pounds
  • Page Count: 314

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