| 书目名称 | Nature-Inspired Algorithms for Optimisation |
| 编辑 | Raymond Chiong |
| 视频video | http://file.papertrans.cn/663/662065/662065.mp4 |
| 概述 | Recent research and source of reference of knowledge on nature-inspired algorithms and their applications.Focuses on the implementation of nature-inspired solutions for optimisation based on empirical |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .Nature-Inspired Algorithms. have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume ‘Nature-Inspired Algorithms for Optimisation‘ is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.. |
| 出版日期 | Book 2009 |
| 关键词 | algorithm; algorithms; artificial intelligence; collective intelligence; complexity; computational intell |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-00267-0 |
| isbn_softcover | 978-3-642-10130-4 |
| isbn_ebook | 978-3-642-00267-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
|Archiver|手机版|小黑屋|
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