NDLI: Particle Swarm Optimization based on clustering in searching process

Content Provider	IEEE Xplore Digital Library
Author	Dakuo He Yi Meng Erwei Zhang Guanyu Wang
Copyright Year	2012
Description	Author affiliation: School of Information Science and Engineering Northeastern University Shenyang, China (Dakuo He; Yi Meng; Erwei Zhang; Guanyu Wang)
Abstract	The population distribution of Particle Swarm Optimization (PSO) directly concerns global convergence and searching efficiency of PSO. The reasonable setting of population distribution and operational parameters is an important problems in the application of PSO to perform optimization calculation. Based on the study on how to set the population distribution, such conclusion can be drawn that the population distribution must reflect the information on solution space scientifically. The PSO based on the population distribution of clustering is proposed. The population distribution was analyzed according to the discrepancy in the solution space and objective function space. The integrated clustering index, which combines the fitness value and space location, was applied to design the population distribution. Simulation results show that the method is feasible and effective.
Starting Page	2884
Ending Page	2887
File Size	358058
Page Count	4
File Format	PDF
ISBN	9781457720734
e-ISBN	9781457720741
DOI	10.1109/CCDC.2012.6243067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis normalization fitness value Clustering algorithms Educational institutions clustering particle swarm optimization Indexes the population distribution Particle swarm optimization Optimization Convergence
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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