An efficient search method for multi-objective flexible job shop scheduling problems
Flexible job shop scheduling is very important in both fields of production management and combinatorial optimization. Owing to the high computational complexity, it is quite difficult to achieve an optimal solution to this problem with traditional optimization approaches. Motivated by some empirica...
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| Published in | Journal of intelligent manufacturing Vol. 20; no. 3; pp. 283 - 293 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Boston
Springer US
01.06.2009
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Flexible job shop scheduling is very important in both fields of production management and combinatorial optimization. Owing to the high computational complexity, it is quite difficult to achieve an optimal solution to this problem with traditional optimization approaches. Motivated by some empirical knowledge, we propose an efficient search method for the multi-objective flexible job shop scheduling problems in this paper. Through the work presented in this work, we hope to move a step closer to the ultimate vision of an automated system for generating optimal or near-optimal production schedules. The final experimental results have shown that the proposed algorithm is a feasible and effective approach for the multi-objective flexible job shop scheduling problems. |
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| AbstractList | Flexible job shop scheduling is very important in both fields of production management and combinatorial optimization. Owing to the high computational complexity, it is quite difficult to achieve an optimal solution to this problem with traditional optimization approaches. Motivated by some empirical knowledge, we propose an efficient search method for the multi-objective flexible job shop scheduling problems in this paper. Through the work presented in this work, we hope to move a step closer to the ultimate vision of an automated system for generating optimal or near-optimal production schedules. The final experimental results have shown that the proposed algorithm is a feasible and effective approach for the multi-objective flexible job shop scheduling problems. [PUBLICATION ABSTRACT] Flexible job shop scheduling is very important in both fields of production management and combinatorial optimization. Owing to the high computational complexity, it is quite difficult to achieve an optimal solution to this problem with traditional optimization approaches. Motivated by some empirical knowledge, we propose an efficient search method for the multi-objective flexible job shop scheduling problems in this paper. Through the work presented in this work, we hope to move a step closer to the ultimate vision of an automated system for generating optimal or near-optimal production schedules. The final experimental results have shown that the proposed algorithm is a feasible and effective approach for the multi-objective flexible job shop scheduling problems. |
| Author | Xing, Li-Ning Yang, Ke-Wei Chen, Ying-Wu |
| Author_xml | – sequence: 1 givenname: Li-Ning surname: Xing fullname: Xing, Li-Ning email: xln_2002@126.com organization: Department of Management Science and Engineering, College of Information System and Management, National University of Defense Technology – sequence: 2 givenname: Ying-Wu surname: Chen fullname: Chen, Ying-Wu organization: Department of Management Science and Engineering, College of Information System and Management, National University of Defense Technology – sequence: 3 givenname: Ke-Wei surname: Yang fullname: Yang, Ke-Wei organization: Department of Management Science and Engineering, College of Information System and Management, National University of Defense Technology |
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| Keywords | Production schedules Local search Multi-objective optimization Flexible jobshop scheduling Combinatorial optimization |
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| Snippet | Flexible job shop scheduling is very important in both fields of production management and combinatorial optimization. Owing to the high computational... |
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| SubjectTerms | Business and Management Control Employment Flexible manufacturing systems Genetic algorithms Heuristic Intelligent systems Job shops Machine learning Machines Manufacturing Mechatronics Optimization Optimization algorithms Processes Production Production management Production scheduling Robotics Scheduling Studies Workloads |
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| Title | An efficient search method for multi-objective flexible job shop scheduling problems |
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