書目名稱 | Linkage in Evolutionary Computation |
編輯 | Ying-ping Chen,Meng-Hiot Lim |
視頻video | http://file.papertrans.cn/587/586750/586750.mp4 |
概述 | Presents recent results in Linkage in Evolutionary Computation |
叢書名稱 | Studies in Computational Intelligence |
圖書封面 |  |
描述 | .In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.. |
出版日期 | Book 2008 |
關(guān)鍵詞 | Bayesian network; Evolution; Evolutionary Computation; Linkage; Operator; algorithm; algorithms; calculus; c |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-540-85068-7 |
isbn_softcover | 978-3-642-09876-5 |
isbn_ebook | 978-3-540-85068-7Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | Springer-Verlag Berlin Heidelberg 2008 |