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2012 | OriginalPaper | Chapter

Rounding and Propagation Heuristics for Mixed Integer Programming

Authors : Tobias Achterberg, Timo Berthold, Gregor Hendel

Published in: Operations Research Proceedings 2011

Publisher: Springer Berlin Heidelberg

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Primal heuristics are an important component of state-of-the-art codes for mixed integer programming. In this paper, we focus on primal heuristics that only employ computationally inexpensive procedures such as rounding and logical deductions (propagation). We give an overview of eight different approaches. To assess the impact of these primal heuristics on the ability to find feasible solutions, in particular early during search, we introduce a new performance measure, the

primal integral

. Computational experiments evaluate this and other measures on MIPLIB 2010 benchmark instances.

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previous chapter Primal Heuristics for Branch-and-Price Algorithms
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Metadata
Title
Rounding and Propagation Heuristics for Mixed Integer Programming
Authors
Tobias Achterberg
Timo Berthold
Gregor Hendel
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Operations Research Proceedings 2011

Print ISBN: 978-3-642-29209-5

Electronic ISBN: 978-3-642-29210-1

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-642-29210-1_12