A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems
•A multi-objective optimization model is designed for multi-period dynamic emergency resource scheduling (ERS) problems.•MOEA/D-mdERSis proposed to solve the designed modelbased on the properties of multi-period dynamic ERS problems.•The experimental results show that MOEA/D-mdERS can find a set of...
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| Vydáno v: | Transportation research. Part E, Logistics and transportation review Ročník 99; s. 77 - 95 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier India Pvt Ltd
01.03.2017
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| Témata: | |
| ISSN: | 1366-5545, 1878-5794 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | •A multi-objective optimization model is designed for multi-period dynamic emergency resource scheduling (ERS) problems.•MOEA/D-mdERSis proposed to solve the designed modelbased on the properties of multi-period dynamic ERS problems.•The experimental results show that MOEA/D-mdERS can find a set of better candidate solutions than NSGA-II.
The resource distribution in post-disaster is an important part of emergency resource scheduling. In this paper, we first design a multi-objective optimization model for multi-period dynamic emergency resource scheduling (ERS) problems. Then, using the framework of multi-objective evolutionary algorithm based on decomposition (MOEA/D), an MOEA is proposed to solve this model. In the proposed algorithm, new evolutionary operators are designed with the intrinsic properties of multi-period dynamic ERS problems in mind. The experimental results show that the proposed algorithm can get a set of better candidate solutions than the non-dominated sorting genetic algorithm II (NSGA-II). |
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| ISSN: | 1366-5545 1878-5794 |
| DOI: | 10.1016/j.tre.2016.12.011 |