Conference Information

DOOR 2016: International Conference on Discrete Optimization and Operations Research

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DOOR
Submission Date:
2016-05-03 Extended
Notification Date:
2016-06-01
Conference Date:
2016-09-19
Location:
Vladivostok, Russky Island, Russia
Years:
9
Viewed: 15049   Tracked: 0   Attend: 0

Call For Papers

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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