The problem studied in this paper is the management of vehicle routing in case of emergency. It is decomposed into two parts. The first one deals with the emergency planning in the event of receiving a set of requests for help after a major disaster such as in the case of an earthquake, hurricane, flood, etc. The second part concerns the treatment of contingency as the arrival of a new request or the appearance of a disturbance such as breakdowns of vehicles, the malfunction of roads, availability of airports, etc. To solve this problem we proposed a multi-agents approach using a guided genetic algorithm for scheduling vehicle routing and local search for the management of contingencies. The main objectif of our approach was to maximizing the number of saved people and minimizing the costs of the rescue operation. This approach was tested with the modified Solomon benchmarks and gave good results.
Distributed genetic algorithm for disaster relief planning
2013-09-17
doi:10.15837/ijccc.2013.5.401
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL; Vol 8 No 5 (2013): International Journal of Computers Communications & Control (October); 769-783 ; 1841-9844 ; 1841-9836 ; 10.15837/ijccc.2013.5
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
A Disaster Relief UAV Path Planning Based on APF-IRRT* Fusion Algorithm
DOAJ | 2023
|Intelligent detection disaster relief vehicle and combined disaster relief method thereof
Europäisches Patentamt | 2023
|