書目名稱 | Knowledge Incorporation in Evolutionary Computation |
編輯 | Yaochu Jin |
視頻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 |
叢書名稱 | Studies in Fuzziness and Soft Computing |
圖書封面 |  |
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 |
關(guān)鍵詞 | 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 |