| 书目名称 | Scalable Optimization via Probabilistic Modeling |
| 副标题 | From Algorithms to A |
| 编辑 | Martin Pelikan,Kumara Sastry,Erick CantúPaz |
| 视频video | |
| 概述 | one of the hottest topics in evolutionary computation.excellent compilation of carefully selected topics in estimation of distribution algorithms---search algorithms that combine ideas from evolutiona |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | I’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you’re going to pick up this book and ?nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation’s population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e?ciency enhancement and t |
| 出版日期 | Book 2006 |
| 关键词 | Bayesian Optimization Algorithm; Computer-Aided Design (CAD); Distribution Algorithms; Evolutionary Alg |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-34954-9 |
| isbn_softcover | 978-3-642-07116-4 |
| isbn_ebook | 978-3-540-34954-9Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
发表于 2025-3-21 16:27:24
