定价:US$89.99 装帧:Paperback ISBN:9783319886800 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. The...
Audet, CharlesEcole PolytechKokkolaras, MichaelMcGill UnivSpringer USOptimization & EngineeringC. Audet and M. Kokkolaras, "Blackbox and derivative-free optimization: theory, algorithms and applications," Optimization and Engineering, vol. 17, no. 1, pp. 1-2, 2016....
Audet, C., Hare, W.: Derivative-free and blackbox optimization. Springer Series in Operations Research and Financial Engineering. Springer, Cham (2017)C. Audet and W. Hare. Derivative-free and blackbox optimization. Springer Series in Operations Research and Financial Engineering. Springer, Cham,...
This motivates the use of derivative-free (non-invasive, blackbox) optimization methods. This chapter describes the use of several derivative-free techniques, including generalized pattern search, Hooke-Jeeves direct search, a genetic algorithm, and particle swarm optimization, for three key problems ...
This motivates the use of derivative-free (non-invasive, blackbox) optimization methods. This chapter describes the use of several derivative-free techniques, including generalized pattern search, Hooke-Jeeves direct search, a genetic algorithm, and particle swarm optimization, for three key problems ...
The general form of the unconstrained private black-box optimization problem can be formulated as\( \min _{\varvec{x} \in {\mathbb {R}}^n}\ f(\varvec{x}), \)wherefis a private black-box function. The evaluation offis expensive, and its output value is encrypted to\(f_k\)by ad...
is considered a black-box optimization (BBO) problem if the objective function f is provided by a black box. That is, for a given input, the function returns an output, but provides no information on how the output was generated. As such, no higher-order information (gradients, Hessians,...
is considered a black-box optimization (BBO) problem if the objective function f is provided by a black box. That is, for a given input, the function returns an output, but provides no information on how the output was generated. As such, no higher-order information (gradients, Hessians,...