Capacitated Windy Rural Postman Problem with several vehicles: A hybrid multi-objective simulated annealing algorithm
This paper presents the capacitated Windy Rural Postman Problem with several vehicles. For this problem, two objectives are considered. One of them is the minimization of the total cost of all vehicle routes expressed by the sum of the total traversing cost and another one is reduction of the maximu...
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| Published in: | International journal of supply and operations management Vol. 2; no. 4; pp. 1003 - 1020 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Tehran
Kharazmi University
01.02.2016
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| ISSN: | 2383-1359, 2383-2525 |
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| Abstract | This paper presents the capacitated Windy Rural Postman Problem with several vehicles. For this problem, two objectives are considered. One of them is the minimization of the total cost of all vehicle routes expressed by the sum of the total traversing cost and another one is reduction of the maximum cost of vehicle route in order to find a set of equitable tours for the vehicles. Mathematical formulation is provided. The multi-objective simulated annealing (MOSA) algorithm has been modified for solving this bi-objective NP-hard problem. To increase algorithm performance, Taguchi technique is applied to design experiments for tuning parameters of the algorithm. Numerical experiments are proposed to show efficiency of the model. Finally, the results of the MOSA have been compared with MOCS (multi-objective Cuckoo Search algorithm) to validate the performance of the proposed algorithm. The experimental results indicate that the proposed algorithm provides good solutions and performs significantly better than the MOCS. |
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| AbstractList | This paper presents the capacitated Windy Rural Postman Problem with several vehicles. For this problem, two objectives are considered. One of them is the minimization of the total cost of all vehicle routes expressed by the sum of the total traversing cost and another one is reduction of the maximum cost of vehicle route in order to find a set of equitable tours for the vehicles. Mathematical formulation is provided. The multi-objective simulated annealing (MOSA) algorithm has been modified for solving this bi-objective NP-hard problem. To increase algorithm performance, Taguchi technique is applied to design experiments for tuning parameters of the algorithm. Numerical experiments are proposed to show efficiency of the model. Finally, the results of the MOSA have been compared with MOCS (multi-objective Cuckoo Search algorithm) to validate the performance of the proposed algorithm. The experimental results indicate that the proposed algorithm provides good solutions and performs significantly better than the MOCS. |
| Author | Rabbani, Masoud Alamdar, Safoura Famil Farrokhi-Asl, Hamed |
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| Copyright | Copyright Kharazmi University Winter 2016 |
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| Snippet | This paper presents the capacitated Windy Rural Postman Problem with several vehicles. For this problem, two objectives are considered. One of them is the... |
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| SubjectTerms | Algorithms Bismuth Computational efficiency Computer simulation Computing time Cost engineering Design parameters Heuristic Hybrid vehicles Mathematical models Multi-objective Cuckoo Search (MOCS) Multi-objective simulated annealing algorithm (MOSA) Multiple objective analysis NP-hard problem Optimization Reduction Routing Search algorithms Searching Simulated annealing Studies Taguchi methods Tuning Vehicles Windy rural postman problem |
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| Title | Capacitated Windy Rural Postman Problem with several vehicles: A hybrid multi-objective simulated annealing algorithm |
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