Constraint-Feature-Guided Evolutionary Algorithms for Multi-Objective Multi-Stage Weapon-Target Assignment Problems

The allocation of heterogeneous battlefield resources is crucial in Command and Control (C2). Balancing multiple competing objectives under complex constraints so as to provide decision-makers with diverse feasible candidate decision schemes remains an urgent challenge. Based on these requirements,...

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Vydané v:	Journal of systems science and complexity Ročník 38; číslo 3; s. 972 - 999
Hlavní autori:	Wang, Danjing, Xin, Bin, Wang, Yipeng, Zhang, Jia, Deng, Fang, Wang, Xianpeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025 Springer Nature B.V
Predmet:	Command and control Complex Systems Constraints Control Effectiveness Evolutionary algorithms Genetic algorithms Heuristic methods Mathematics Mathematics and Statistics Mathematics of Computing Multiple objective analysis Operations Research/Decision Theory Random sampling Statistics Systems Theory Weapons weapon-target assignment Evolutionary algorithms constraint handling constrained multi-objective optimization problem
ISSN:	1009-6124, 1559-7067
On-line prístup:	Získať plný text
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