An optimization algorithm with novel RFA-PSO cooperative evolution: Applications to parameter decision of a snake robot
文献类型：期刊论文
| 作者 | Gao Q(高琴); Wang ZL(王哲龙); Li HY(李洪谊)
|
| 刊名 | Mathematical Problems in Engineering
 |
| 出版日期 | 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 |
| 产权排序 | 1 |
| 通讯作者 | 高琴 |
| 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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