NDLI: Improved Genetic and Ant Colony Optimization Algorithm for Regional Air Defense WTA Problem

Content Provider	IEEE Xplore Digital Library
Author	Tiao-ping Fu Yu-shu Liu Jian-hua Chen
Copyright Year	2006
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol. (Tiao-ping Fu; Yu-shu Liu)
Abstract	Facing the complex air defense situation, it is an urgent mission to improve the efficiency of regional air defense weapon-target assignment of warship formation. The weapon-target assignment problem is NP hard. Classical methods for solving such problems are based on graph search and usually result in exponential complexities. Some intelligent algorithms usually result in local optimal. An improved genetic and ant colony optimization algorithm is proposed. The phase of genetic algorithm adopts crowding technique and changeable mutation operator to maintain multiple populations. As a result, the phase of ant colony optimization can avoid getting into local optimization. Furthermore, an intensive study of how to use this algorithm in weapon-target assignment is made. Experiments results demonstrate that the improved algorithm achieves better efficiency than some classical optimization algorithms. The proposed algorithm can solve regional air defense weapon-target assignment problem well
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	226
Ending Page	229
File Size	125900
Page Count	4
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.99
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Ant colony optimization Missiles Weapons Decision making Stress control Cost function Protection Biological cells Genetic algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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