Target Combination Selection Optimization Method of Joint Operations based on Fuzzy Genetic algorithm

doi:10.16182/j.issn1004731x.joss.201710004

Abstract

Abstract: Under the condition of informatization, it is necessary to use intelligent model and optimization method to realize the cooperation and fusion of multi arms combat firepower. Aiming at the problem of target decision-making and firepower allocation in joint operations, the fuzzy multi-objective programming model was constructed to achieve the overall goal of achieving the maximum and the best firepower as a dual goal. In the model solving algorithm, the possibility theory was used to transform the fuzzy number, the model was transformed into the multi-objective programming model in the deterministic form. In order to improve the efficiency of the algorithm, the multi-objective genetic algorithm was optimized. Through the example data, the model and the design method were validated, and the Pareto optimal set of two objectives was obtained.

Key words: joint operation, target selection combination, fuzzy number, multi-objective genetic algorithm

CLC Number:

TP391.9

Li Suike, Xiang Jianhua, Wang Haijun, Zhang Mingzhi, Li Yi. Target Combination Selection Optimization Method of Joint Operations based on Fuzzy Genetic algorithm[J]. Journal of System Simulation, 2017, 29(10): 2254-2261.

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