Reliability assignment method of missile system based on parallel genetic algorithm

Kai Jin; Xin Shan; Dengjian Fang; Haidi Dong; Shengzhi Yuan

doi:10.1117/12.3012212

21 December 2023 Reliability assignment method of missile system based on parallel genetic algorithm

Kai Jin, Xin Shan, Dengjian Fang, Haidi Dong, Shengzhi Yuan

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129701Z (2023) https://doi.org/10.1117/12.3012212
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

This paper addresses the issue of cross-reuse functionality among subsystems within a missile weapon system. The objective is to minimize development costs by formulating the missile weapon system's reliability assignment problem as a constrained combinatorial optimization challenge. To solve this problem, a parallel genetic algorithm is employed, utilizing a coarse-grained model and a multi-population evolution strategy. The presented example demonstrates the successful application of the parallel genetic algorithm in effectively solving the problem while achieving a high-quality solution.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kai Jin, Xin Shan, Dengjian Fang, Haidi Dong, and Shengzhi Yuan "Reliability assignment method of missile system based on parallel genetic algorithm", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129701Z (21 December 2023); https://doi.org/10.1117/12.3012212

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