| 书目名称 | Evolutionary Multi-Criterion Optimization | | 副标题 | 4th International Co | | 编辑 | Shigeru Obayashi,Kalyanmoy Deb,Tadahiko Murata | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5–8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zürich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, México in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimi | | 出版日期 | Conference proceedings 2007 | | 关键词 | adaptive search; algorithm design; algorithmics; algorithms; approximation; automata; classification; const | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-70928-2 | | isbn_softcover | 978-3-540-70927-5 | | isbn_ebook | 978-3-540-70928-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
The information of publication is updating
|
|
发表于 2025-3-21 19:20:16
