NDLI: Application of Multiobjective Particle Swarm Optimization in Missile Effectiveness Optimization

Content Provider	IEEE Xplore Digital Library
Author	Jia Xu Shaojun Li Feng Qian
Copyright Year	2006
Description	Author affiliation: Inst. of Autom., East China Univ. of Sci. & Technol., Shanghai (Jia Xu; Shaojun Li; Feng Qian)
Abstract	Pointing to the diversity measurement of Pareto solutions in particle swarm optimization algorithm, the maximin fitness function including additional warp is put forward. This algorithm named IMPSO has some very desirable properties with regard to multi-objective optimization. There is no additional niche technique, since the maximin fitness of a solution can tell us whether a solution is dominated. Then, the optimizer can automatically delete those non-dominated solutions whose distances are too close, which ensure the speed of convergence, and not influence the integrality of the Pareto-optimal front. Finally, it was applied to missile effectiveness optimization, and its efficiency was proved
Starting Page	3499
Ending Page	3503
File Size	221422
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713019
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Missiles Pareto optimization Automation Particle measurements Intelligent control maximin fitness function multi-objective optimization particle swarms optimization
Content Type	Text
Resource Type	Article

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