An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning

Path planning poses a complex optimization challenge essential for the safe operation and successful mission execution of unmanned aerial vehicles (UAVs). Developing objectives, constraints, and decision-making processes for three-dimensional path planning involving multiple UAVs presents substantia...

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Vydané v:	Complex & intelligent systems Ročník 11; číslo 5; s. 225 - 20
Hlavní autori:	Bai, Zhenzu, Zhou, Haiyin, Wei, Juhui, Zhou, Xuanying, Ning, Yida, Wang, Jiongqi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.05.2025 Springer Nature B.V Springer
Predmet:	Algorithms Complexity Computational Intelligence Constrained multi-objective evolutionary algorithm Constrained multi-objective problems Data Structures and Information Theory Engineering Evolutionary algorithms Feasibility studies Multiple objective analysis Optimization Original Article Path planning Regularity Regularity evolution Unmanned aerial vehicles Constrained multi-objective problems Path planning Constrained multi-objective evolutionary algorithm Regularity evolution
ISSN:	2199-4536, 2198-6053
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