Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics
Thousands of victims and millions of affected people are hurt by natural disasters every year. Therefore, it is essential to prepare proper response programs that consider early activities of disaster management. In this paper, a multiobjective model for distribution centers which are located and al...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/239868 |
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| author | Farnaz Barzinpour Mohsen Saffarian Ahmad Makoui Ebrahim Teimoury |
| author_facet | Farnaz Barzinpour Mohsen Saffarian Ahmad Makoui Ebrahim Teimoury |
| author_sort | Farnaz Barzinpour |
| collection | DOAJ |
| description | Thousands of victims and millions of affected people are hurt by natural disasters every year. Therefore, it is essential to prepare proper response programs that consider early activities of disaster management. In this paper, a multiobjective model for distribution centers which are located and allocated periodically to the damaged areas in order to distribute relief commodities is offered. The main objectives of this model are minimizing the total costs and maximizing the least rate of the satisfaction in the sense of being fair while distributing the items. The model simultaneously determines the location of relief distribution centers and the allocation of affected areas to relief distribution centers. Furthermore, an efficient solution approach based on genetic algorithm has been developed in order to solve the proposed mathematical model. The results of genetic algorithm are compared with the results provided by simulated annealing algorithm and LINGO software. The computational results show that the proposed genetic algorithm provides relatively good solutions in a reasonable time. |
| format | Article |
| id | doaj-art-5a2ac63f6d2b481bb062fdf5f812edb0 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-5a2ac63f6d2b481bb062fdf5f812edb02025-02-03T01:25:33ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/239868239868Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief LogisticsFarnaz Barzinpour0Mohsen Saffarian1Ahmad Makoui2Ebrahim Teimoury3Department of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, IranDepartment of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, IranDepartment of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, IranDepartment of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, IranThousands of victims and millions of affected people are hurt by natural disasters every year. Therefore, it is essential to prepare proper response programs that consider early activities of disaster management. In this paper, a multiobjective model for distribution centers which are located and allocated periodically to the damaged areas in order to distribute relief commodities is offered. The main objectives of this model are minimizing the total costs and maximizing the least rate of the satisfaction in the sense of being fair while distributing the items. The model simultaneously determines the location of relief distribution centers and the allocation of affected areas to relief distribution centers. Furthermore, an efficient solution approach based on genetic algorithm has been developed in order to solve the proposed mathematical model. The results of genetic algorithm are compared with the results provided by simulated annealing algorithm and LINGO software. The computational results show that the proposed genetic algorithm provides relatively good solutions in a reasonable time.http://dx.doi.org/10.1155/2014/239868 |
| spellingShingle | Farnaz Barzinpour Mohsen Saffarian Ahmad Makoui Ebrahim Teimoury Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics Journal of Applied Mathematics |
| title | Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics |
| title_full | Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics |
| title_fullStr | Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics |
| title_full_unstemmed | Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics |
| title_short | Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics |
| title_sort | metaheuristic algorithm for solving biobjective possibility planning model of location allocation in disaster relief logistics |
| url | http://dx.doi.org/10.1155/2014/239868 |
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