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.
1. 3.1: Introduction - p. 29 2. 3.2: Preliminary discussion - p. 31 3. 3.3: Application of MODM concepts in the DEA methodology - p. 34 4. 3.4: Classification of usage of DEA in MODM - p. 55 5. 3.5: Discussion and conclusion - p. 59 6. 4 Improved crow search algorithm based on arithmetic crossover—a novel metaheuristic technique for solving engineering optimization problems - p. 71 7. 5 MOGROM: Multiobjective Golden Ratio Optimization Algorithm - p. 91 8. 6 Multiobjective charged system search for optimum location of bank branch - p. 119 9. 7 Application of multiobjective Gray Wolf Optimization in gasification-based problems - p. 133 10. 8 A VDS-NSGA-II algorithm for multiyear multiobjective dynamic generation and transmission expansion planning - p. 157 11. 9 A multiobjective Cuckoo Search Algorithm for community detection in social networks - p. 177 12. 10 Finding efficient solutions of the multicriteria assignment problem - p. 193 13. 11 Application of multiobjective optimization in thermal design and analysis of complex energy systems - p. 211 14. 12 A multiobjective nonlinear combinatorial model for improved planning of tour visits using a novel binary gaining-sharing knowledge- based optimization algorithm - p. 237 15. 13 Variables clustering method to enable planning of large supply chains - p. 265 16. Index - p. 287
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.
1. 3.1: Introduction - p. 29 2. 3.2: Preliminary discussion - p. 31 3. 3.3: Application of MODM concepts in the DEA methodology - p. 34 4. 3.4: Classification of usage of DEA in MODM - p. 55 5. 3.5: Discussion and conclusion - p. 59 6. 4 Improved crow search algorithm based on arithmetic crossover—a novel metaheuristic technique for solving engineering optimization problems - p. 71 7. 5 MOGROM: Multiobjective Golden Ratio Optimization Algorithm - p. 91 8. 6 Multiobjective charged system search for optimum location of bank branch - p. 119 9. 7 Application of multiobjective Gray Wolf Optimization in gasification-based problems - p. 133 10. 8 A VDS-NSGA-II algorithm for multiyear multiobjective dynamic generation and transmission expansion planning - p. 157 11. 9 A multiobjective Cuckoo Search Algorithm for community detection in social networks - p. 177 12. 10 Finding efficient solutions of the multicriteria assignment problem - p. 193 13. 11 Application of multiobjective optimization in thermal design and analysis of complex energy systems - p. 211 14. 12 A multiobjective nonlinear combinatorial model for improved planning of tour visits using a novel binary gaining-sharing knowledge- based optimization algorithm - p. 237 15. 13 Variables clustering method to enable planning of large supply chains - p. 265 16. Index - p. 287
