会议信息

COCOA 2023: International Conference on Combinatorial Optimization and Applications

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COCOA
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截稿日期:
2023-09-04
通知日期:
2023-10-04
会议日期:
2023-12-15
会议地点:
Hawaii, USA
届数:
16
ICORE: C   QUALIS: B4   浏览: 31768   关注: 6   参加: 2

会伴指数 (CP-I)

58.2 / 100
全站第 671 名 / 共 5,693 个会议 · 前 12%

理论与算法 第 44 / 142

学术认可 (35%)
58
投稿选择性 (20%)
59
会议传承 (20%)
76
社区关注 (10%)
27
资料公开度 (15%)
55

用到的输入: 收录等级:ICORE C, QUALIS B4 · 录用率:46.2%(有记录的 5 届的均值) · 有据可查的届次:16 · 在会伴关注它的研究者:6 人 · 过去 24 个月打开过本页的研究者:2 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-02

征稿

COCOA 2023 (International Conference on Combinatorial Optimization and Applications) is a ICORE C / QUALIS B4 conference held in Hawaii, USA on 2023-12-15. The paper submission deadline is 2023-09-04. Acceptance notifications are sent on 2023-10-04.

The 16th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2023) will be held during December 11-13, 2023. 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 topics include, but are not limited to: Algorithms and Data Structures Approximation Algorithms Operation Research Communication Network Optimization Energy Efficient Wireless Sensor Networks Optimal Resource Management Social Networks Complex Network Optimization Computational Algebra Computational Geometry Computational Biology Computational Financing Computational Game Theory Computational Learning Theory Computational Number Theory Bioinformatics Graph Theory Graph Search Distributed Computational Systems Urban Transportation Networks Mobile Ad Hoc Networks Scheduling Big Data
由 Dou Sun 最后更新于

录用率

平均录用率: 47.9% 14 年间 (2008–2021).

年份提交数录用数录用率(%)
20211225545.1%
20201045552.9%
20191084945.4%
20181065047.2%
20171455940.7%
20161226049.2%
20151255947.2%
20141335642.1%
2013723650%
2012573357.9%
2011653046.2%
20101084945.4%
20091035048.5%
2008844452.4%

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CCF全称影响因子出版商ISSN
Journal of Combinatorial Optimization1.1Springer1382-6905
Computational Optimization and Applications2.0Springer0926-6003
Journal of Optimization Theory and Applications1.5Springer0022-3239
Journal of Combinatorial Theory, Series A1.2Elsevier0097-3165
Journal of Combinatorial Theory, Series B1.2Elsevier0095-8956
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X

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