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DOOR 2016: International Conference on Discrete Optimization and Operations Research

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截稿日期:
2016-05-03 Extended
通知日期:
2016-06-01
会议日期:
2016-09-19
会议地点:
Vladivostok, Russky Island, Russia
届数:
9
浏览: 15719   关注: 0   参加: 0

会伴指数 (CP-I)

44.5 / 100
全站第 2,983 名 / 共 5,682 个会议 · 前 53%

理论与算法 第 106 / 142

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
62
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次：9 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 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 45% —— 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 2026-09-20

征稿

DOOR 2016 (International Conference on Discrete Optimization and Operations Research) is an academic conference held in Vladivostok, Russky Island, Russia on 2016-09-19. The paper submission deadline is 2016-05-03 (extended). Acceptance notifications are sent on 2016-06-01.

This is the 9th conference on discrete optimization and operations research. The previous conferences were devoted to discrete analysis and operations research and took place in the Sobolev Institute of Mathematics, Novosibirsk in 1996, 1998, 2000, 2002, 2004. The 6th conference was on the Russian Far East in the pictureous place on the Japan Sea shore nearby Vladivostok in 2007. The 7th one was hold in Mountain Altay in 2010. The 8th one took place in Novosibirsk. This conference will be held in Russky Island at the Far Eastern Federal University Campus. The conference's topics will cover the whole scope of Mathematical Programing, Combinatorial Optimization, and Operations Research, including Data Mining, Scheduling Theory, Experimental Economy, Logistics and Transportation, Supply-Chain-Management, Project Management, and more. The aim of the conference is to bring together researchers in discrete optimization and operations research, exchange knowledge, identify promising research avenues and application domains, and foster new collaborations. Main Topics Mathematical models and methods for decision making Mathematical programming Integer programming and polyhedral combinatorics Bilevel programming and multicriteria optimization Optimization problems in machine learning and data mining Discrete optimization in scheduling, routing, bin packing, locations, and optimization problems on graphs Computational complexity and polynomial time approximation Applications of operations research
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