Multi-Objective Emergency Path Planning Based on Improved Nondominant Sorting Genetic Algorithm

Three-dimensional path planning in emergency logistics is a complex optimization problem, particularly challenging because it requires considering conflicting objectives such as flight time, energy consumption, and obstacle avoidance. Unlike most urban logistics research, this study examines emergen...

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Vydáno v:	Symmetry (Basel) Ročník 17; číslo 11; s. 1818
Hlavní autoři:	Yuan, Yiren, Xu, Hang, Tang, Cuiyong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.11.2025
Témata:	Algorithms Discovery and exploration Drone aircraft Drones Energy consumption Environment models Evolutionary algorithms Flight time Genetic algorithms Genetic research Integer programming Logistics Motivation Mountainous areas Multiple objective analysis Mutation Natural disasters Objectives Obstacle avoidance Optimization Outer space Path planning Real time Solution space Sorting algorithms Symmetry Traveling salesman problem Unmanned aerial vehicles
ISSN:	2073-8994, 2073-8994
On-line přístup:	Získat plný text
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