Evacuation Path Planning Based on the Hybrid Improved Sparrow Search Optimization Algorithm

In the face of fire in buildings, people need to quickly plan their escape routes. Intelligent optimization algorithms can achieve this goal, including the sparrow search algorithm (SSA). Despite the powerful search ability of the SSA, there are still some areas that need improvements. Aiming at the...

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Veröffentlicht in:	Fire (Basel, Switzerland) Jg. 6; H. 10; S. 380
Hauptverfasser:	Wei, Xiaoge, Zhang, Yuming, Zhao, Yinlong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2023
Schlagworte:	Adaptive algorithms adaptive perturbation Algorithms chaotic mapping equations Evacuation Evacuation of civilians evacuation path planning Evacuation routing Food Foraging behavior hybrids Intelligence levy Logistics Machine learning Markov chain Mathematical optimization Methods Normal distribution Objective function Optimization Optimization algorithms Passeriformes Path planning Planning Search algorithms Simulation Smoothness SSA Unmanned aerial vehicles China
ISSN:	2571-6255, 2571-6255
Online-Zugang:	Volltext
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