Multi-Objective Combinatorial Optimization Problems and Solution Methods
eBook - ePub

Multi-Objective Combinatorial Optimization Problems and Solution Methods

  1. 314 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Multi-Objective Combinatorial Optimization Problems and Solution Methods

About this book

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. - Presents a collection of the most up-to-date research, providing a complete overview of multi-objective combinatorial optimization problems and applications - Introduces new approaches to handle different engineering and science problems, providing the field with a collection of related research not already covered in the primary literature - Demonstrates the efficiency and power of the various algorithms, problems and solutions, including numerous examples that illustrate concepts and algorithms

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Yes, you can access Multi-Objective Combinatorial Optimization Problems and Solution Methods by Mehdi Toloo,Siamak Talatahari,Iman Rahimi in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Multi-Objective Combinatorial Optimization Problems and Solution Methods
  2. Cover
  3. Front Matter
  4. Title Page
  5. Copyright
  6. Dedication
  7. Contents
  8. Contributors
  9. Editors Biography
  10. Preface
  11. Acknowledgments
  12. 1 Multiobjective combinatorial optimization problems: social, keywords, and journal maps
  13. 2 The fundamentals and potential of heuristics and metaheuristics for multiobjective combinatorial optimization problems and solution methods
  14. 3 A survey on links between multiple objective decision making and data envelopment analysis
  15. 4 Improved crow search algorithm based on arithmetic crossover—a novel metaheuristic technique for solving engineering optimization problems
  16. 5 MOGROM: Multiobjective Golden Ratio Optimization Algorithm
  17. 6 Multiobjective charged system search for optimum location of bank branch
  18. 7 Application of multiobjective Gray Wolf Optimization in gasification-based problems
  19. 8 A VDS-NSGA-II algorithm for multiyear multiobjective dynamic generation and transmission expansion planning
  20. 9 A multiobjective Cuckoo Search Algorithm for community detection in social networks
  21. 10 Finding efficient solutions of the multicriteria assignment problem
  22. 11 Application of multiobjective optimization in thermal design and analysis of complex energy systems
  23. 12 A multiobjective nonlinear combinatorial model for improved planning of tour visits using a novel binary gaining-sharing knowledge- based optimization algorithm
  24. 13 Variables clustering method to enable planning of large supply chains
  25. Index