A Covering Tour Approach for Disaster Relief Locating and Routing with Fuzzy Demand
| Autor: | Alireza Goli, Behnam Malmir |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Operations research
Computer science Aerospace Engineering 010501 environmental sciences 01 natural sciences Fuzzy logic 0502 economics and business 0105 earth and related environmental sciences 050210 logistics & transportation Emergency management Event (computing) business.industry General Neuroscience Applied Mathematics 05 social sciences GRASP Response time Credibility theory Computer Science Applications Control and Systems Engineering Automotive Engineering Harmony search Routing (electronic design automation) business Software Information Systems |
| Zdroj: | International Journal of Intelligent Transportation Systems Research. 18:140-152 |
| ISSN: | 1868-8659 1348-8503 |
| Popis: | Optimizing the distribution and allocation of resources among individuals is one of the most important measures to be taken at the time of crisis. Time, as a vital factor, has a significant impact on the increase in the number of people rescued by relief activities. This paper presents an allocation and routing model for relief vehicles in the areas affected by a disaster. It uses a covering tour approach to reduce response time. Moreover, because determining the exact amount of demand for essential goods in the event of a disaster is very difficult and even impossible in some cases, the demand parameter is considered as a fuzzy parameter in this model. Accordingly, an optimization method is designed based on credibility theory, and a harmony search algorithm with random simulation is developed. Finally, the efficiency of the harmony search algorithm is analyzed by comparing the CPLEX solver and GRASP algorithm. The results show that the proposed algorithm performs well over a short operating time. |
| Databáze: | OpenAIRE |
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