Emergency Vehicle Scheduling Problem with Time Utility in Disasters
| Autor: | Junbiao Kuang, Ye Yu, Ben Niu, Xiaobing Gan, Yan Wang |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Mathematical optimization Article Subject Job shop scheduling Operations research business.industry lcsh:Mathematics General Mathematics Utility maximization General Engineering Particle swarm optimization lcsh:QA1-939 Emergency rescue Fuzzy logic Emergency vehicle lcsh:TA1-2040 Fuzzy number lcsh:Engineering (General). Civil engineering (General) business |
| Zdroj: | Mathematical Problems in Engineering, Vol 2015 (2015) |
| ISSN: | 1563-5147 1024-123X |
| DOI: | 10.1155/2015/164194 |
| Popis: | This paper presents a flexible emergency rescue system which is chiefly composed of three parts, namely, disaster assistance center, relief vehicles, and disaster areas. A novel objective of utility maximization is used to evaluate the entire system in disasters. Considering the uncertain road conditions in the relief distribution, we implement triangular fuzzy number to calculate the vehicle velocity. As a consequence, a fuzzy mathematical model is built to maximize the utility of emergency rescue system and then converted to the crisp counterpart. Finally, the results of numerical experiments obtained by particle swarm optimization (PSO) prove the validity of this proposed mathematical model. |
| Databáze: | OpenAIRE |
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