Air Defense Fire Distribution Based on Cloud-genetic Algorithm

doi:10.16182/j.issn1004731x.joss.201809038

Abstract

Abstract: Air defense fire distribution is a critical problem in the researches on air defense operation. This paper builds a fire distribution model with the maximization of strike as its optimization objective, and proposes a cloud model-based modified genetic algorithm based on the advantageous characteristics of cloud model in combination of genetic algorithm, which not only accelerates the rate of convergence and increases search efficiency of the original algorithm, but also preferably avoids the problems of local optimum and premature convergence. Simulation experiments have verified the feasibility of the modified algorithm.

Key words: fire distribution, cloud model, cloud generator, cloud-genetic algorithm

CLC Number:

TP391

Lei Ming, Xie Bin. Air Defense Fire Distribution Based on Cloud-genetic Algorithm[J]. Journal of System Simulation, 2018, 30(9): 3533-3537.

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