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Multiobjective Tabu Search Optimization

Multiobjective Tabu Search Optimization


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About the Book

The field of metaheuristics for different multiobjective optimization problems is a rapidly growing field of research. A multiobjective optimization task considers several conflicting objectives simultaneously. There are at least two equally important tasks: an optimization task for finding a set of optimal solutions, called Pareto optimal solutions and a decision-making task for choosing a single most preferred solution. The objective of this book is to show how tabu search procedures can be used to solve difficult problems in a multiobjective framework. The first chapter, is devoted to present different basic method to solve multiobjective optimization tasks. The second chapter, presents multiobjective tabu/scatter search architecture with preference information based on reference points for problems of continuous nature. The third chapter, introduces an adaptation of a multiobjective tabu/scatter search to deal with nonlinear discrete, mixed-integer constrained engineering optimization problems. This book is useful for researchers in the field of metaheuristic optimization, graduate in computer science, operation research, management science and other engineering disciplines.


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Product Details
  • ISBN-13: 9786202249867
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: Editorial Academica Espanola
  • Height: 229 mm
  • No of Pages: 60
  • Spine Width: 4 mm
  • Width: 152 mm
  • ISBN-10: 6202249862
  • Publisher Date: 08 Jan 2018
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 150 gr


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