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JOURNALS // Computer Research and Modeling // Archive

Computer Research and Modeling, 2015 Volume 7, Issue 3, Pages 719–725 (Mi crm240)

This article is cited in 3 papers

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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.

UDC: 004.023

Received: 30.09.2014

DOI: 10.20537/2076-7633-2015-7-3-719-725



© Steklov Math. Inst. of RAS, 2024