Rapid emergency medical service (EMS) response plays a very important role since some decisions highly impact the health of patients in critical times such as natural disasters and pandemics. In this paper, a metaheuristic approach called Slime Mould Algorithm (SMA) has been proposed to improve the response time for the ambulance dispatching problem. SMA is based on the oscillation mode of slime mould in nature and one of the newest swarm intelligence algorithms for solving complex optimization issues. To assess the proposed approach, we performed preliminary experiments to tune the parameters. Then, we compared the results of the designed approach with those obtained by the accelerated particle swarm optimization (APSO) algorithm. The experiments show that SMA for ambulance dispatching is very competitive and gives a substantial improvement over the APSO algorithm in terms of performance and computational complexity.
Khelfa, C., Khennak, I., Drias, H., Drias, Y., Belharda, Y., Smail, M. (2023). Slime Mould Algorithm for Solving Ambulance Dispatching Problem. In Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) (pp.822-831). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-27524-1_80].
Slime Mould Algorithm for Solving Ambulance Dispatching Problem
Drias Y.;
2023
Abstract
Rapid emergency medical service (EMS) response plays a very important role since some decisions highly impact the health of patients in critical times such as natural disasters and pandemics. In this paper, a metaheuristic approach called Slime Mould Algorithm (SMA) has been proposed to improve the response time for the ambulance dispatching problem. SMA is based on the oscillation mode of slime mould in nature and one of the newest swarm intelligence algorithms for solving complex optimization issues. To assess the proposed approach, we performed preliminary experiments to tune the parameters. Then, we compared the results of the designed approach with those obtained by the accelerated particle swarm optimization (APSO) algorithm. The experiments show that SMA for ambulance dispatching is very competitive and gives a substantial improvement over the APSO algorithm in terms of performance and computational complexity.
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