Firepower Assignment of Ship-to-Air Missile System

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Abstract:

Hybrid genetic algorithm has been proposed in this paper, which is proposed by combining standard genetic algorithm with hill climbing to solve the unconstrained optimization problem, which can get global optimization results of the firepower assignment, and provide decision support for the firepower assignment.

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702-705

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Kenekayoro Patrick. Comparison of simulated annealing and hill climbing in the course timetabling problem[J]. African Journal of Mathematics and Computer Science Research, Vol. 5 (11): 176-178, (2012).

Google Scholar

[2] Mitchell Melanie. An Introduction to Genetic Algorithms[M]. Cambridge: MIT Press, (1999).

Google Scholar

[3] M. Srinivas and L.M. Patnaik. Adaptive probabilities of crossover and mutation in genetic algorithms[J]. IEEE Trans. Systems, Man Cybernet. Vol. 24 (4): 656–667, (1994).

DOI: 10.1109/21.286385

Google Scholar

[4] Qiongsun Liu, Shenghua Zhou. Hybrid Genetic Algorithm Based on Novel Adaptive Penalty Function[J]. Journal of Chongqing University, Vol. 29 (6): 78-81, (2006).

Google Scholar

[5] Xiaozhen Yan, Hong Xie. Yao Liu. Mixed multiuser detection based on genetic algorithm and bit hill climbing algorithm[J]. Applied Science and Technology, Vol. 34 (8): 29-33, (2007).

Google Scholar

[6] Yang Zhang. Multi-target Air Defense Fire Distribution Research[R]. Master diss., Dalian University, China, (2012).

Google Scholar

[7] Youtang Tong. Research on the Model and Application of Ship-to-air Missile Command Decision Making[R]. PhD diss., Dalian University of Technology, China, (2009).

Google Scholar