| 書目名稱 | Evolutionary Optimization |
| 編輯 | Ruhul Sarker,Masoud Mohammadian,Xin Yao |
| 視頻video | http://file.papertrans.cn/318/317993/317993.mp4 |
| 叢書名稱 | International Series in Operations Research & Management Science |
| 圖書封面 |  |
| 描述 | Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invi |
| 出版日期 | Book 2002 |
| 關(guān)鍵詞 | algorithms; evolutionary algorithm; formal logic; genetic algorithms; heuristics; intelligence; multi-obje |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b101816 |
| isbn_softcover | 978-1-4757-7570-9 |
| isbn_ebook | 978-0-306-48041-6Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
| issn_series | 0884-8289 |
| copyright | Springer Science+Business Media New York 2002 |
|Archiver|手機版|小黑屋|
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