| 書(shū)目名稱 | Computational Intelligence in Expensive Optimization Problems | | 編輯 | Yoel Tenne,Chi-Keong Goh | | 視頻video | http://file.papertrans.cn/233/232498/232498.mp4 | | 概述 | First book to introduce the emerging field of computational intelligence in expensive optimization problems.Provides both theoretical treatments and real-world insights gained by experience in computa | | 叢書(shū)名稱 | Adaptation, Learning, and Optimization | | 圖書(shū)封面 |  | | 描述 | .In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc...Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. This is the first book to introduce the emerging field of computational intelligence in expensive optimization problems. Topics covered include: dedicated implementations of evolutionary algorithms, neural networks and fuzzy logic. reduction of expensive evaluations (modelling, variable-fidelity, fitness inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation issues on clusters, grids, parallel machines), incorporatio | | 出版日期 | Book 2010 | | 關(guān)鍵詞 | algorithm; algorithms; computational intelligence; control; data mining; evolution; evolutionary algorithm | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-10701-6 | | isbn_softcover | 978-3-642-26318-7 | | isbn_ebook | 978-3-642-10701-6Series ISSN 1867-4534 Series E-ISSN 1867-4542 | | issn_series | 1867-4534 | | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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