An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot
Joint Authors
Gao, Qin
Wang, Zhelong
Li, Hongyi
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The success to design a hybrid optimization algorithm depends on how to make full use of the effect of exploration and exploitation carried by agents.
To improve the exploration and exploitation property of the agents, we present a hybrid optimization algorithm with both local and global search capabilities by combining the global search property of rain forest algorithm (RFA) and the rapid convergence of PSO.
Originally two kinds of agents, RFAAs and PSOAs, are introduced to carry out exploration and exploitation, respectively.
In order to improve population diversification, uniform distribution and adaptive range division are carried out by RFAAs in flexible scale during the iteration.
A further improvement has been provided to enhance the convergence rate and processing speed by combining PSO algorithm with potential guides found by both RFAAs and PSOAs.
Since several contingent local minima conditions may happen to PSO, special agent transformation is suggested to provide information exchanging and cooperative coevolution between RFAAs and PSOAs.
Effectiveness and efficiency of the proposed algorithm are compared with several algorithms in the various benchmark function problems.
Finally, engineering design optimization problems taken from the gait control of a snake-like robot are implemented successfully by the proposed RFA-PSO.
American Psychological Association (APA)
Gao, Qin& Wang, Zhelong& Li, Hongyi. 2015. An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073504
Modern Language Association (MLA)
Gao, Qin…[et al.]. An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1073504
American Medical Association (AMA)
Gao, Qin& Wang, Zhelong& Li, Hongyi. An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073504
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073504