Novel supervisor-searcher cooperation algorithms for minimization problems with strong noise
文献类型：期刊论文
| 作者 | Dai, YH; Lamb, J; Liu, WB |
| 刊名 | OPTIMIZATION METHODS & SOFTWARE
 |
| 出版日期 | 2003-06-01 |
| 卷号 | 18期号:3页码:247-264 |
| 关键词 | supervisor searcher cooperation global convergence stochastic optimization stochastic approximation |
| ISSN号 | 1055-6788 |
| DOI | 10.1080/1055678031000119364 |
| 英文摘要 | This work continues the investigation in Ref. [1]: designing minimization algorithms in the framework of supervisor and searcher cooperation (SSC). It explores a wider range of possible supervisors and search engines to be used in the construction of SSC algorithms. Global convergence is established for algorithms with general supervisors and search engines in the absence of noise, and the convergence rate is studied. Both theoretical analysis and numerical results illustrate the appealing attributes of the proposed algorithms. |
| WOS研究方向 | Computer Science ; Operations Research & Management Science ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000184134600001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/18364]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Dai, YH |
| 作者单位 | 1.Chinese Acad Sci, Inst Computat Math & Sci Engn Comp, Beijing 100080, Peoples R China 2.Univ Kent, CBS, Canterbury CT2 7PE, Kent, England |
| 推荐引用方式 GB/T 7714 | Dai, YH,Lamb, J,Liu, WB. Novel supervisor-searcher cooperation algorithms for minimization problems with strong noise[J]. OPTIMIZATION METHODS & SOFTWARE,2003,18(3):247-264. |
| APA | Dai, YH,Lamb, J,&Liu, WB.(2003).Novel supervisor-searcher cooperation algorithms for minimization problems with strong noise.OPTIMIZATION METHODS & SOFTWARE,18(3),247-264. |
| MLA | Dai, YH,et al."Novel supervisor-searcher cooperation algorithms for minimization problems with strong noise".OPTIMIZATION METHODS & SOFTWARE 18.3(2003):247-264. |
入库方式： OAI收割
来源：数学与系统科学研究院
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