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Test problem generator by neural network for algorithms that try solving nonlinear programming problems globally
Liu, DG; Zhang, XS
2000-03-01
发表期刊JOURNAL OF GLOBAL OPTIMIZATION
ISSN0925-5001
卷号16期号:3页码:229-243
摘要A test problem generator, by means of neural networks nonlinear function approximation capability, is given in this paper which provides test problems, with many predetermined local minima and a global minimum, to evaluate nonlinear programming algorithms that are designed to solve the problem globally.
关键词feedforward network global solution nonlinear programming test problem generation
语种英语
WOS研究方向Operations Research & Management Science ; Mathematics
WOS类目Operations Research & Management Science ; Mathematics, Applied
WOS记录号WOS:000088032000003
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/15217
专题应用数学研究所
通讯作者Liu, DG
作者单位Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100080, Peoples R China
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GB/T 7714
Liu, DG,Zhang, XS. Test problem generator by neural network for algorithms that try solving nonlinear programming problems globally[J]. JOURNAL OF GLOBAL OPTIMIZATION,2000,16(3):229-243.
APA Liu, DG,&Zhang, XS.(2000).Test problem generator by neural network for algorithms that try solving nonlinear programming problems globally.JOURNAL OF GLOBAL OPTIMIZATION,16(3),229-243.
MLA Liu, DG,et al."Test problem generator by neural network for algorithms that try solving nonlinear programming problems globally".JOURNAL OF GLOBAL OPTIMIZATION 16.3(2000):229-243.
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