Dynamic Air Defense Resource Allocation Optimization Based on Improved Differential Evolution Algorithm

Authors

Tianyu Luo, College of Systems Engineering, National University of Defense Science and Technology, Changsha 410073, ChinaFollow
Lining Xing, College of Electronic Engineering, Xi'an University of Electronic Science and Technology, Xi'an 710071, ChinaFollow
Rui Wang, College of Systems Engineering, National University of Defense Science and Technology, Changsha 410073, China
Ling Wang, Department of Automation, Tsinghua University, Beijing 100084, China
Jianmai Shi, College of Systems Engineering, National University of Defense Science and Technology, Changsha 410073, China
Xin Sun, College of Systems Engineering, National University of Defense Science and Technology, Changsha 410073, China

Abstract

Abstract: Based on the integrated performance of weapon equipments such as radars, launchers and missiles, a mixed-integer decision model that minimizes the total target intercept value and the probability of survival based on Target-Set, Resource-Set is developed. A new improved differential evolutionary algorithm has been introduced to solve the problem, and the initial solutions is generated by using the reverse learning strategies to ensure the quality of the initial populations. An inspiration rule for the fast repair and reconstruction is designed to work at multi-stage to improve the search capability of the algorithm. The simulation experiment results show the algorithm's superiority in search time and search accuracy, which can maintain the efficient combat capabilities and decision-making under the random influence of dynamic events.

Recommended Citation

Luo, Tianyu; Xing, Lining; Wang, Rui; Wang, Ling; Shi, Jianmai; and Sun, Xin (2024) "Dynamic Air Defense Resource Allocation Optimization Based on Improved Differential Evolution Algorithm," Journal of System Simulation: Vol. 36: Iss. 6, Article 3.
DOI: 10.16182/j.issn1004731x.joss.24-0116
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss6/3

First Page

1285

Last Page

1297

CLC

TP391.9

Recommended Citation

Luo Tianyu, Xing Lining, Wang Rui, et al. Dynamic Air Defense Resource Allocation Optimization Based on Improved Differential Evolution Algorithm[J]. Journal of System Simulation, 2024, 36(6): 1285-1297.

Corresponding Author

Xing Lining

DOI

10.16182/j.issn1004731x.joss.24-0116