Algorithms and Software for Convex Mixed Integer Nonlinear Programs-Reference-Cited by-同舟云学术

Algorithms and Software for Convex Mixed Integer Nonlinear Programs

Published:2011-11-15 Issue: Volume: Page:1-39
ISSN:0940-6573
Container-title:Mixed Integer Nonlinear Programming
language:
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Author:

Bonami Pierre,Kilinç Mustafa,Linderoth Jeff

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4614-1927-3_1.pdf

Reference115 articles.

1. K. Abhishek, S. Leyffer, and J.T. Linderoth, Feasibility pump heuristics for Mixed Integer Nonlinear Programs. Unpublished working paper, 2008.

2. , FilMINT: An outer-approximation-based solver for convex Mixed-Integer Nonlinear Programs, INFORMS Journal on Computing, 22, No. 4 (2010), pp. 555{567.

3. T. Achterberg and T. Berthold, Improving the feasibility pump, Technical Report ZIB-Report 05–42, Zuse Institute Berlin, September 2005.

4. T. Achterberg, T. Koch, and A. Martin, Branching rules revisited, Operations Research Letters, 33 (2004), pp. 42{54.

5. I. Akrotirianakis, I. Maros, and B. Rustem, An outer approximation based branch-and-cut algorithm for convex 0–1 MINLP problems, Optimization Methods and Software, 6 (2001), pp. 21{47.

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