Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems
Joint Authors
Wang, J. W.
Wang, H. F.
Ip, W. H.
Furuta, K.
Kanno, T.
Zhang, W. J. Chris
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We propose an approach to solve continuous variable optimization problems.
The approach is based on the integration of predatory search strategy (PSS) and swarm intelligence technique.
The integration is further based on two newly defined concepts proposed for the PSS, namely, “restriction” and “neighborhood,” and takes the particle swarm optimization (PSO) algorithm as the local optimizer.
The PSS is for the switch of exploitation and exploration (in particular by the adjustment of neighborhood), while the swarm intelligence technique is for searching the neighborhood.
The proposed approach is thus named PSS-PSO.
Five benchmarks are taken as test functions (including both unimodal and multimodal ones) to examine the effectiveness of the PSS-PSO with the seven well-known algorithms.
The result of the test shows that the proposed approach PSS-PSO is superior to all the seven algorithms.
American Psychological Association (APA)
Wang, J. W.& Wang, H. F.& Ip, W. H.& Furuta, K.& Kanno, T.& Zhang, W. J. Chris. 2013. Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010594
Modern Language Association (MLA)
Wang, J. W.…[et al.]. Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1010594
American Medical Association (AMA)
Wang, J. W.& Wang, H. F.& Ip, W. H.& Furuta, K.& Kanno, T.& Zhang, W. J. Chris. Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010594
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010594