NDLI: Population diversity based study on search information propagation in particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Shi Cheng Yuhui Shi Quande Qin
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering and Electronics, University of Liverpool, UK (Shi Cheng) \|\| Department of Electrical & Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China (Yuhui Shi) \|\| College of Management, Shenzhen University, China (Quande Qin)
Abstract	Premature convergence happens in Particle Swarm Optimization (PSO) partially due to improper search information propagation. Fast propagation of search information will lead particles get clustered together quickly. Determining a proper search information propagation mechanism is important in optimization algorithms to balance between exploration and exploitation. In this paper, we attempt to figure out the relationship between search information propagation and the population diversity change. Firstly, we analyze the different characteristics of search information propagation in PSO with four kinds of topologies: star, ring, four clusters, and Von Neumann. Secondly, population diversities of PSO, which include position diversity, velocity diversity, and cognitive diversity, are utilized to monitor particles' search during optimization process. Position diversity, velocity diversity, and cognitive diversity, represent distributions of current solutions, particles' “moving potential”, and particles' “moving target”, respectively. From the observation of population diversities, the effect of search information propagation on PSO's optimization performance is discussed at last.
Starting Page	1
Ending Page	8
File Size	2071554
Page Count	8
File Format	PDF
ISBN	9781467315104
e-ISBN	9781467315098
e-ISBN	9781467315081
DOI	10.1109/CEC.2012.6256502
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Topology Atmospheric measurements Particle measurements Current measurement Convergence Clustering algorithms Structural rings Exploitation Particle Swarm Optimization Population Diversity Search Information Propagation Exploration
Content Type	Text
Resource Type	Article

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