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This article is cited in 3 scientific papers (total in 3 papers)
СЕКЦИОННЫЕ ДОКЛАДЫ
Pre-decomposition of discrete optimization problems to speed up the branch and bound method in a distributed computing environment
S. A. Smirnov, V. V. Voloshinov Institute for Information Transmission Problems of the Russian Academy of Science, Kharkevich Institute, 19/1 Bolshoy Karetny per., Moscow, 127051, Russia
Abstract:
The paper presents an implementation of branch and bound algorithm employing coarse grained parallelism. The system is based on CBC (COIN-OR branch and cut) open-source MIP solver and interprocess communication capabilities of Erlang. Numerical results show noticeable speedup in comparison to single-threaded CBC instance.
Keywords:
branch and bound algorithm, coarse grained parallelism.
Received: 30.09.2014
Citation:
S. A. Smirnov, V. V. Voloshinov, “Pre-decomposition of discrete optimization problems to speed up the branch and bound method in a distributed computing environment”, Computer Research and Modeling, 7:3 (2015), 719–725
Linking options:
https://www.mathnet.ru/eng/crm240 https://www.mathnet.ru/eng/crm/v7/i3/p719
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Abstract page: | 126 | Full-text PDF : | 64 | References: | 27 |
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