地点: 安徽 发布时间:2013-09-22 14:02:28 |
| [ 会议基本信息 ] |
| 会议名称（中文）： |
第三届国际组合优化及其应用会议 |
| 会议名称（英文）： |
The 3rd Annual International Conference on Combinatorial Optimization and Applications (COCOA'09) |
| 所属学科： |
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| 会议类型： |
国际会议 |
| 会议论文集是否检索： |
不详 |
| 开始日期： |
2009-6-10 |
| 结束日期： |
2009-6-12 |
| 所在国家： |
中华人民共和国 |
| 所在城市： |
安徽省 黄山市 |
| 主办单位： |
Chinese Academy of Sciences |
| [ 组织结构 ] |
| [ 重要日期 ] |
| 摘要截稿日期： |
2009-2-15 |
| 全文截稿日期： |
2009-4-1 |
论文录用通知日期
|
2009-3-15 |
| [ 会务组联系方式 ] |
| E-mail： |
cocoa09.chairs@gmail.com |
| 会议网站： |
http://theory.utdallas.edu/COCOA2009/index.html |
| 会议背景介绍： |
The 3rd Annual International Conference on Combinatorial Optimization and Applications (COCOA'09) will be held during June 10-12, 2009, in Yellow Mountains, China. |
| 征文范围及要求： |
Original research papers in the areas of combinatorial optimization and its applications are solicited. In addition to theoretical results, we are particularly interested in submissions that report on experimental and applied research of general algorithmic interest. Special consideration will be given to research that is motivated by real-world problems. Experimental and applied papers are expected to show convincingly the usefulness and efficiency of the algorithms discussed in a practical setting.
The conference proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science series. After the conference, some selected papers will be published in special issues of the Journal of Combinatorial Optimization, Theoretical Computer Science, Discrete Mathematics, Algorithms and Applications. Typical, but not exclusive, topics of interest include:
Algorithms and Data Structures
Approximation Algorithms
Bioinformatics
Communication Networks
Computational Algebra
Computational Biology
Computational Financing
Computational Game Theory
Computational Geometry
Computational Learning Theory
Computational Number Theory
Extremal Graph Theory
Graph Searching
Graph Theory
Network Flow
Network Optimization Problems
Operation Research
Optimal Resource Management
Parallel and Distributed Computing
Scheduling |
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