Submarine Launching Anti-Surfaceship Missile Firepower Allocation and Optimization Based on Partheno-Genetic Algorithm

Article Preview

Abstract:

Anti-surfaceship missile firepower allocation is a complex and important problem to submarine command. The method of partheno-genetic algorithm (PGA) is suit for firepower allocating. While keeping the virtues of traditional genetic algorithm, PGA overcomes its defects. Because of employing more simply operators, PGA decreases the complexity of calculation. Basing on the mathematics model of missile firepower allocation and building the steps of PGA, a case of firepower allocation to submarine by PGA was applied. Simulation results indicated that PGA is a simple, effective and fast algorithm. PGA can solve the submarines missile firepower allocation problem effectively and can be satisfied with the requirement of real-time and fast to submarine command.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

465-468

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] K.F. Man, K.S. Tang, S. Kwong, Genetic Algorithms: Concepts and Designs, Springer, London, (1999).

Google Scholar

[2] Gen Mitsuo, Cheng Runwei: Genetic algorithms and engineering optimization, Tsinghua University Publisher,(2004).

Google Scholar

[3] K.F. Man, K.S. Tang, S.: Genetic Algorithms: Concepts and Designs, Springer, London, (1999).

Google Scholar

[4] Someya, H., & Yamamura, M.: Genetic algorithm with search area adaptation for the function optimization and its experimental analysis. Proceedings of IEEE. CEC2001, 933-940.

Google Scholar

[5] Davis L: Job Shop Schedling with Genetic Algorithm, Proceedings of the First International Conference on Genetic Algorithms, Lawrence Eelbaum Associates, Publishers, (1985).

Google Scholar