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Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization - Studies in Computational Intelligence Gregory Levitin Softcover reprint of hardcover 1st ed. 2007 edition
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元 1.094
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预计送达时间 年6月3日 - 年6月15日
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其他版本：
Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization - Studies in Computational Intelligence
Gregory Levitin
This book covers the recent applications of computational intelligence techniques in reliability engineering. It also contains chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques.
414 pages, black & white illustrations
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2010年11月19日 |
| ISBN13 | 9783642072185 |
| 出版商 | Springer-Verlag Berlin and Heidelberg Gm |
| 页数 | 398 |
| 商品尺寸 | 155 × 235 × 21 mm · 576 g |
| 语言 | 德语 |
| 编辑 | Levitin, Gregory |
![Cover for Gregory Levitin · Computational Intelligence in Reliability Engineering: New Metaheuristics, Neural and Fuzzy Techniques in Reliability - Studies in Computational Intelligence (Paperback Book) [Softcover reprint of hardcover 1st ed. 2007 edition] (2010)](https://imusic.com.cn/local-image/images/item/original/192/9783642072192.jpg?gregory-levitin-2010-computational-intelligence-in-reliability-engineering-new-metaheuristics-neural-and-fuzzy-techniques-in-reliability-studies-in-computational-intelligence-paperback-book&class=scaled&v=1485305398)
![Cover for Gregory Levitin · The Universal Generating Function in Reliability Analysis and Optimization - Springer Series in Reliability Engineering (Paperback Book) [Softcover reprint of hardcover 1st ed. 2005 edition] (2010)](https://imusic.com.cn/local-image/images/item/original/628/9781849969628.jpg?gregory-levitin-2010-the-universal-generating-function-in-reliability-analysis-and-optimization-springer-series-in-reliability-engineering-paperback-book&class=scaled&v=1408609732)