Air Defense Fire Distribution Based on Cloud-genetic Algorithm

Authors

Lei Ming, 1.The 28th Research Institute of China Electronic Group Corporation, Nanjing 210007, China;;2. Science and Technology on Information Systems Engineering Laboratory, Nanjing 210007, China;
Bin Xie, 1.The 28th Research Institute of China Electronic Group Corporation, Nanjing 210007, China;;2. Science and Technology on Information Systems Engineering Laboratory, Nanjing 210007, China;

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.

Recommended Citation

Ming, Lei and Xie, Bin (2019) "Air Defense Fire Distribution Based on Cloud-genetic Algorithm," Journal of System Simulation: Vol. 30: Iss. 9, Article 38.
DOI: 10.16182/j.issn1004731x.joss.201809038
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss9/38

First Page

3533

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201809038

Last Page

3537

CLC

TP391

Recommended Citation

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

DOI

10.16182/j.issn1004731x.joss.201809038