Full 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.
Contents
1. Multi-objective combinatorial optimization problems: Social, Keywords, and Journal maps
Mehdi Toloo, Siamak Talatahari, Iman Rahimi and Amir H. Gandomi
2. The Fundamentals and Potential of Heuristics and Metaheuristics for Multi-Objective Combinatorial Optimization Problems and Solution Methods
Ana Carolina Borges Monteiro, Reinaldo Padilha França, Rangel Arthur, Yuzo Iano and Reinaldo Padilha França
3. A survey on links between multiple objective decision making and data envelopment analysis
Amineh Ghazi and Farhad Hosseinzadeh Lotfi
II. New methods for combinatorial optimization problems
4. Improved Crow Search Algorithm Based on Arithmetic Cross Over- A Novel Metaheuristic Technique for Solving Engineering Optimization Problems
S N Kumar, A Lenin Fred, R. Jonisha Miriam, Padmanabhan Parasuraman, Balazs Gulyas, Ajay Kumar Haridhas and Nisha Dayana
5. MOGROM: Multi-objective Golden Ratio Optimization Algorithm
Behrooz Vahidi, Amin Foroughi and Abolfazl Rahiminejad
III. Application of random-based methods for combinatorial optimization problems
6. Multi-Objective Charged System Search for Optimum Location of Bank Branch
Siamak Talatahari
7. Application of Multi-objective Grey Wolf Optimization in Gasification-based Problems
Siamak Talatahari
8. A VDS-NSGA-II Algorithm for Multi-Year Multi-Objective Dynamic Generation and Transmission Expansion Planning
Ali Esmaeel Nezhad
9. A Multi-Objective Cuckoo Search Algorithm for Community Detection in Social Networks
Farhad Soleimanian Gharehchopogh and Shafih Ghafori
IV. Application of other methods for combinatorial optimization problems
10. Finding efficient solutions of the multi-criteria assignment problem
Emmanuel Kwasi Mensah, Esmaeil Keshavarz and Mehdi Toloo
11. Application of Multi-objective Optimization in Thermal Design and Analysis of Complex Energy Systems
Ali Baghernejad and Elnaz Aslanzadeh
12. A Multi-Objective Nonlinear Combinatorial Model for Improved Planning of Tour Visits Using a Novel Binary Gaining-Sharing knowledge-based Optimization Algorithm
Ali Wagdy wagdy, Said Hassan, Prachi Agrawal and Talari Ganesh
13. Variables Clustering Method to Enable Planning of Large Supply Chains
Emilio Bertolotti Sr
