When, Why, and How Can Derivative-Free Optimization Be Useful to Computational Engineering Design?
DOI: 10.1115/1.4045043
关键词: Mathematical optimization 、 Computer science 、 Engineering design process 、 Derivative-free optimization 、 Computational Science and Engineering
摘要:
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sci-hub.st 参考文章(6)
Katya Scheinberg, Luis N. Vicente, Andrew R. Conn, Introduction to Derivative-Free Optimization ,(2009)
Jorge J. Moré, Stefan M. Wild, Do you trust derivatives or differences Journal of Computational Physics. ,vol. 273, pp. 268- 277 ,(2014) , 10.1016/J.JCP.2014.04.056
Tamara G. Kolda, Robert Michael Lewis, Virginia Torczon, Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods SIAM Review. ,vol. 45, pp. 385- 482 ,(2003) , 10.1137/S003614450242889
Charles Audet, Michael Kokkolaras, Blackbox and derivative-free optimization: theory, algorithms and applications Optimization and Engineering. ,vol. 17, pp. 1- 2 ,(2016) , 10.1007/S11081-016-9307-4
Charles Audet, Warren Hare, Derivative-Free and Blackbox Optimization Springer International Publishing. ,(2017) , 10.1007/978-3-319-68913-5
Michael Kokkolaras, C. Audet and W. Hare: Derivative-free and blackbox optimization. Springer series in operations research and financial engineering Optimization and Engineering. ,vol. 20, pp. 955- 957 ,(2019) , 10.1007/S11081-019-09422-9