| 書目名稱 | Towards a New Evolutionary Computation |
| 副標題 | Advances on Estimati |
| 編輯 | Jose A. Lozano,Pedro Larra?aga,Endika Bengoetxea |
| 視頻video | http://file.papertrans.cn/928/927093/927093.mp4 |
| 概述 | Introduces new concepts in the area of evolutionary computation |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | .Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field...This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective.. |
| 出版日期 | Book 2006 |
| 關鍵詞 | Wrapper; algorithm; algorithms; artificial intelligence; evolution; evolutionary algorithm; evolutionary c |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-32494-1 |
| isbn_softcover | 978-3-642-06704-4 |
| isbn_ebook | 978-3-540-32494-2Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
|Archiver|手機版|小黑屋|
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