| 書目名稱 | Evolutionary Multi-Criterion Optimization |
| 副標(biāo)題 | 9th International Co |
| 編輯 | Heike Trautmann,Günter Rudolph,Christian Grimme |
| 視頻video | http://file.papertrans.cn/318/317987/317987.mp4 |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017.?. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.. |
| 出版日期 | Conference proceedings 2017 |
| 關(guān)鍵詞 | big data; evolutionary algorithms; machine learning; numeric computing; parallel computing; algorithm ana |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-54157-0 |
| isbn_softcover | 978-3-319-54156-3 |
| isbn_ebook | 978-3-319-54157-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
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