ccDNCA: A Dual-Neighborhood Search-Based Dual-Population Coevolutionary Algorithm for Multi-UAV Task Allocation Problems With Complex Constraints

Solving the multiple unmanned aerial vehicles task allocation problem with complex constraints (MTAPCc) by means of the constrained multiobjective evolutionary algorithms (cMOEAs) is novel research in the field of Operation Research. Its advantages mainly consist of two aspects. One is that it can f...

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Vydané v:	IEEE internet of things journal Ročník 12; číslo 20; s. 43143 - 43165
Hlavní autori:	Chen, Xi, Zhao, Zipeng, Wan, Yu, Qi, Jingtao, Ruan, Yirun, Lu, Xin, Tang, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 15.10.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Autonomous aerial vehicles Coding Coevolutionary framework Combinatorial analysis Constraint handling constraint handling technique (CHT) Constraints Encoding Evolutionary algorithms Hands Linear programming multi-unmanned aerial vehicle (UAV) task allocation multiobjective combinatorial optimization multiobjective evolutionary algorithm (MOEA) Multiple objective analysis Multitasking Neighborhoods Optimization Permutations Resource management Search methods Search problems Unmanned aerial vehicles Vehicle routing Windows (intervals)
ISSN:	2327-4662, 2327-4662
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