书目名称 | Knowledge Incorporation in Evolutionary Computation |
编辑 | Yaochu Jin |
视频video | http://file.papertrans.cn/544/543945/543945.mp4 |
概述 | State of the art in knowledge incorporation in evolutionary computation.Comprehensive and self-contained.Includes a concise introduction to evolutionary algorithms as well as knowledge representation |
丛书名称 | Studies in Fuzziness and Soft Computing |
图书封面 |  |
描述 | Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Know |
出版日期 | Book 20051st edition |
关键词 | Case-Based Reasoning; Computer; Evolution Strategies; Evolutionary Computation; Fuzzy; Fuzzy Systems; Gene |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-540-44511-1 |
isbn_softcover | 978-3-642-06174-5 |
isbn_ebook | 978-3-540-44511-1Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
issn_series | 1434-9922 |
copyright | Springer-Verlag Berlin Heidelberg 2005 |