An optimization algorithm with novel RFA-PSO cooperative evolution: Applications to parameter decision of a snake robot

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	An optimization algorithm with novel RFA-PSO cooperative evolution: Applications to parameter decision of a snake robot
	Gao Q(高琴); Wang ZL(王哲龙); Li HY(李洪谊)
刊名	Mathematical Problems in Engineering
	2015
卷号	2015 页码:1-12
关键词	PARTICLE SWARM OPTIMIZATION HUMAN ACTIVITY RECOGNITION HYBRID GENETIC ALGORITHM CPG-BASED LOCOMOTION KINEMATICS ANALYSIS DESIGN SYSTEM CLASSIFICATION ADAPTATION NETWORKS
ISSN号	1024-123X
通讯作者	高琴
产权排序	1
中文摘要	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.
WOS标题词	Science & Technology ; Technology ; Physical Sciences
类目[WOS]	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
研究领域[WOS]	Engineering ; Mathematics
关键词[WOS]	PARTICLE SWARM OPTIMIZATION ; HUMAN ACTIVITY RECOGNITION ; HYBRID GENETIC ALGORITHM ; CPG-BASED LOCOMOTION ; KINEMATICS ANALYSIS ; DESIGN ; SYSTEM ; CLASSIFICATION ; ADAPTATION ; NETWORKS
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000356283700001
内容类型	期刊论文
源URL	[http://ir.sia.ac.cn/handle/173321/16229]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Gao Q,Wang ZL,Li HY. An optimization algorithm with novel RFA-PSO cooperative evolution: Applications to parameter decision of a snake robot[J]. Mathematical Problems in Engineering,2015,2015:1-12.
APA	Gao Q,Wang ZL,&Li HY.(2015).An optimization algorithm with novel RFA-PSO cooperative evolution: Applications to parameter decision of a snake robot.Mathematical Problems in Engineering,2015,1-12.
MLA	Gao Q,et al."An optimization algorithm with novel RFA-PSO cooperative evolution: Applications to parameter decision of a snake robot".Mathematical Problems in Engineering 2015(2015):1-12.