Novel supervisor-searcher cooperation algorithms for minimization problems with strong noise

doi:10.1080/1055678031000119364

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	Novel supervisor-searcher cooperation algorithms for minimization problems with strong noise
	Dai, YH ; Lamb, J ; Liu, WB
	2003-06-01
发表期刊	OPTIMIZATION METHODS & SOFTWARE
ISSN	1055-6788
卷号	18 期号:3 页码:247-264
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.
关键词	supervisor searcher cooperation global convergence stochastic optimization stochastic approximation
DOI	10.1080/1055678031000119364
语种	英语
WOS研究方向	Computer Science ; Operations Research & Management Science ; Mathematics
WOS类目	Computer Science, Software Engineering ; Operations Research & Management Science ; Mathematics, Applied
WOS记录号	WOS:000184134600001
出版者	TAYLOR & FRANCIS LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/18365
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.