Optimization Design Method of Fragmenting Warfare Based on Improved Genetic Algorithm

doi:10.3969/j.issn.1000-1093.2015.03.012

Abstract

Abstract: A optimization design method is used to change the “drawing and testing” design model of fragmenting warhead and improve the design efficiency and quality. A mathematical model for optimization design of fragmenting warhead is build by analyzing the objective function, constraint condition and analytic model. The improved genetic algorithm with multi-parent crossover operator is used in the optimization design process of fragmenting warhead. By the way, the traditional optimization algorithm has some disadvantages, such as morbid gradient, high sensitivity to initial value and local convergence. A focusing fragmenting warhead is optimized with the warhead power and mass as the optimization target. The calculated results show that the various performance indexes of final project meet the specifications. The optimized target is greatly improved compared with the original project.

Key words: ordnance science and technology, fragmenting warhead, optimization design, genetic algorithm, multi-parent crossover, focusing fragmenting warhead

CLC Number:

TJ410.2

MAO Liang， JIANG Chun-lan， WANG Chao， LU Wei-jing. Optimization Design Method of Fragmenting Warfare Based on Improved Genetic Algorithm[J]. Acta Armamentarii, 2015, 36(3): 457-462.

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