Using simulation and evolutionary algorithms to evaluate the design of mix strategies of decoy and jammers in anti-torpedo tactics

Proceedings - Winter Simulation Conference

Volumn , Issue , 2006, Pages 1299-1306

  Liang, Ko Hsin ^a   Wang, Kuei Ming ^a  

^a SHIH CHIEN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC WARFARE; EVOLUTIONARY ALGORITHMS; JAMMING; MILITARY OPERATIONS; SUBMARINES;

(1+1) EVOLUTIONARY ALGORITHMS; COUNTERMEASURES (CM); HIGH SPEEDS; IN ORDER; JAMMERS; TWO TYPES;

TORPEDOES;

EID: 46149095302     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2006.323228     Document Type: Conference Paper

References (11)

1. Armo, K. R. 2000. The relationship between a submarine's maximum speed and its evasive capability. Master's Thesis, Operations Research Department, Naval Post-graduate School, Monterey, CA.
2. Azadivar, F., and G. Tompkins. 1999. Simulation optimization with qualitative variables and structural model changes: A genetic algorithm approach. European Journal of Operational Research 113 (1): 169-182.
3. Bäck, T. 1996. Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms. New York: Oxford University.
4. Eiben, A. E., and J. E. Smith. 2003. Introduction to evolutionary computing. Berlin: Springer-Verlag.
5. Joines, J. A., D. Gupta, M. A. Gokce, R. E. King, and M. G. Kay. 2002. Supply chain multi-objective simulation optimization. In Proceedings of the 2002 Winter Simulation Conference, ed. E. Yücesan, C.-H. Chen, J. Snowdon, and J. Charnes, 1306-1314.
6. Kierstead, D., and D. Delbalzo. 2003. A genetic algorithm applied to planning search paths in complicated environments. Military Operations Research 8(2):45-59.
7. Liang, K.-H., and C. S. Newton. 2004. Evolutionary algorithms for design optimization of anti-submarine search problem. In The 5th International Conference on Simulated Evolution And Learning (SEAL04), CD-ROM Proceedings. Busan, Korea.
8. Mühlenbein, H., and D. Schlierkamp-Voosen. 1993. Predictive models for the breeder genetic algorithm I. Continuous parameter optimization. Evolutionary Computation 1 (1): 25-49.
9. Pierreval, H., and L. Tauton. 1997. Using evolutionary algorithms and simulation for the optimization of manufacturing systems. IIE Transactions 29 (3): 181-189.
10. Watts, A. J. (Ed.) 2005. Jane's underwater warfare systems 2005-06. 17th ed. UK: Jane's Information Group.
11. Yao, X. 2002. Evolutionary computation: A gentle introduction. In Evolutionary Optimization, ed. R. Sarker, M. Mohammadian, and X. Yao, 27-53. Boston: Kluwer Academic Publishers.