Optimization of Air Defense and Antimissile Firepower Resource Allocation Based on Adaptive Hybrid Evolution

Authors

• Wei Liu, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Delong Chen, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Ze Liu, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Rui Wang, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Kaiwen Li, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Tao Zhang, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China

Abstract

Abstract: Air defense and antimissile firepower resource allocation is a core optimization problem in modern defense systems. Under complex conditions such as spatiotemporal constraints and firepower resource limitations, this problem involves the optimal configuration of limited interceptors and belongs to the class of NP-hard multi-constrained combinatorial optimization problems. This paper established a comprehensive mathematical model encompassing range constraints, time window constraints, feasibility matrices, and interception probability models. To address the high-dimensional nonlinearity of the problem, an adaptive hybrid evolutionary algorithm (AHEA) was proposed. The algorithm integrated problem-aware initialization, adaptive parameter control, seven specialized neighborhood search operators, and an adaptive strategy selection mechanism, achieving an organic combination of global exploration and local refinement. Experimental validation on four standard benchmark cases (number of threats ranging from 5 to 48 and number of interceptors ranging from 13 to 92) demonstrates the performance superiority of AHEA.

Recommended Citation

Liu, Wei; Chen, Delong; Liu, Ze; Wang, Rui; Li, Kaiwen; and Zhang, Tao (2026) "Optimization of Air Defense and Antimissile Firepower Resource Allocation Based on Adaptive Hybrid Evolution," Journal of System Simulation: Vol. 38: Iss. 4, Article 9.
DOI: 10.16182/j.issn1004731x.joss.25-1216
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/9

First Page

959

Last Page

973

CLC

TP391.9

Recommended Citation

Liu Wei, Chen Delong, Liu Ze, et al. Optimization of Air Defense and Antimissile Firepower Resource Allocation Based on Adaptive Hybrid Evolution[J]. Journal of System Simulation, 2026, 38(4): 959-973.

Corresponding Author

Wang Rui

DOI

10.16182/j.issn1004731x.joss.25-1216