A Review of Constrained Multi-Objective Evolutionary Algorithm-Based Unmanned Aerial Vehicle Mission Planning: Key Techniques and Challenges

UAV mission planning is one of the core problems in the field of UAV applications. Currently, mission planning needs to simultaneously optimize multiple conflicting objectives and take into account multiple mutually coupled constraints, and traditional optimization algorithms struggle to effectively...

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Bibliographic Details
Published in:	Drones (Basel) Vol. 8; no. 7; p. 316
Main Authors:	Huang, Gang, Hu, Min, Yang, Xueying, Wang, Xun, Wang, Yijun, Huang, Feiyao
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2024
Subjects:	Algorithms Business metrics Classification conflicting objectives constrained multi-objective evolutionary algorithms constraint handling techniques Constraints Control systems Drone aircraft Efficiency Energy consumption Evolutionary algorithms Genetic algorithms Mathematical models Mathematical optimization Methods Mission planning Multiple objective analysis Optimization Optimization algorithms Optimization techniques Planning Real time UAV mission planning Unmanned aerial vehicles China
ISSN:	2504-446X, 2504-446X
Online Access:	Get full text
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