NDLI: Research on Chaotic Variable Velocity Limit Particle Swarm Optimization with Modified Random Benchmark

Content Provider	IEEE Xplore Digital Library
Author	Pang Shu Ping
Copyright Year	2012
Abstract	The standard Particle Swarm Optimization(PSO) will be easily trapped by the local optimization of the optimization problem. To overcome this shortage, the Chaotic Variable Velocity Limit Particle Swarm Optimization(CVVL-PSO) is proposed. It shrinks the velocity limitation with iteration going on. And it changes the inertia weight in the pattern of exponential decreasing. The algorithm introduces the modified tent series into the velocity updating process of particle. The modified random benchmark with random local optima and random radius is proposed. The global optimized point is generated randomly. And it is applied to compare with the classic benchmarks to testify the searching ability of several PSOs. In the numerical experiment, the results show the searching ability and wider feasibility of the CVVL-PSO.
Starting Page	1828
Ending Page	1831
File Size	305496
Page Count	4
File Format	PDF
ISBN	9781467314503
DOI	10.1109/ICICEE.2012.484
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Conferences Benchmark testing Educational institutions Chaotic series Variable velocity limitation Particle swarm optimization Optimization Convergence Random benchmark
Content Type	Text
Resource Type	Article

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Research on Chaotic Variable Velocity Limit Particle Swarm Optimization with Modified Random Benchmark