Global Optimization Based on Hierarchical Coevolution Model
文献类型：会议论文
| 作者 | Chen HN(陈瀚宁); Zhu YL(朱云龙) ; Hu KY(胡琨元); Ku T(库涛)
|
| 出版日期 | 2008 |
| 会议名称 | IEEE Congress on Evolutionary Computation |
| 会议日期 | June 1-6, 2008 |
| 会议地点 | Hong Kong, China |
| 关键词 | Biodiversity Boolean functions Evolutionary algorithms Optimization Probability density function |
| 页码 | 1497-1504 |
| 通讯作者 | 陈瀚宁 |
| 中文摘要 | This paper presents a novel optimization algorithm that we call the particle swarms swarm optimizer ((PSO)-O-2), which based on a hierarchical coevolution model (HCO model) of symbiotic species. HCO model introduced a number of M species each possesses a number of N individuals to represent the "biological community". Both the heterogeneous coevolution and the homogeneous coevolution aspects are simulated in this model to maintain the community biodiversity. This strategy enable the symbiotic species find the optima faster and discourage premature convergence effectively. The experiments compare the performance of (PSO)-O-2 with the canonical PSO, the fully informed particle swarm (FIPS), the unified particle swarm (UPSO) and the Fitness-Distance-Ratio based PSO (FDR-PSO) on a set of 6 benchmark functions. The simulation results show the (PSO)-O-2 algorithm markedly outperforms the four mentioned algorithms on all benchmark functions and has the potential to solve the complex problems with high dimensionality. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | IEEE |
| 会议录 | 2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-1822-0 |
| WOS记录号 | WOS:000263406500224 |
| 源URL | [http://ir.sia.cn/handle/173321/8239]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室_先进制造技术研究室 |
| 推荐引用方式 GB/T 7714 | Chen HN,Zhu YL,Hu KY,et al. Global Optimization Based on Hierarchical Coevolution Model[C]. 见:IEEE Congress on Evolutionary Computation. Hong Kong, China. June 1-6, 2008. |
入库方式： OAI收割
来源：沈阳自动化研究所
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