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.
Author(s): Mehdi Toloo & Siamak Talatahari & Iman Rahimi
314 Pages
Science, Biotechnology
Description
Book Synopsis
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.
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .66 Inches (D)
Weight: 1.2 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 314
Genre: Science
Sub-Genre: Biotechnology
Publisher: Academic Press
Format: Paperback
Author: Mehdi Toloo & Siamak Talatahari & Iman Rahimi
Language: English
Street Date: February 15, 2022
TCIN: 1008295439
UPC: 9780128237991
Item Number (DPCI): 247-53-1060
Origin: Made in the USA or Imported
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Estimated ship weight: 1.2 pounds
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