2023
DOI: 10.21203/rs.3.rs-3436428/v1
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Comparing the performance of Genetic Algorithm and Particle Swarm Optimization Algorithm in allocating and scheduling fire stations for dispatching forces to a fire/accident (A Case study: the Region 19, Tehran, Iran)

Afrasyab Kheirdast,
Seyed Ali Jozi,
Sahar Rezaian
et al.

Abstract: Considering the importance of "time" in the process of dispatching forces to reach the fire or accident site, GA or PSO models can be used as artificial intelligence alternatives. Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSOA) models can be used. This research shows which of these two models is more appropriate in this case study. With the hypothesis that GA and PSOA have positive effects on the allocation and scheduling of the stations, this research seeks to compare them in order to … Show more

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