An efficient Lagrangian smoothing heuristic for Max-Cut-Reference-Cited by-同舟云学术

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An efficient Lagrangian smoothing heuristic for Max-Cut

Published:2010-10 Issue:5 Volume:41 Page:683-700
ISSN:0019-5588
Container-title:Indian Journal of Pure and Applied Mathematics
language:en
Short-container-title:Indian J Pure Appl Math

Author:

Xia Yong,Xu Zi

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Mathematics

Link

http://link.springer.com/content/pdf/10.1007/s13226-010-0039-4.pdf

Reference11 articles.

1. H. Alperin and I. Nowak, “Lagrangian smoothing heuristics for Max-Cut”, Journal of Heuristics, 11 (2005), 447–463.

2. A. Beck and M. Teboulle, “Global optimality conditions for quadratic optimization problems with binary constraints”, SIAM Journal on Optimization, 11(1) (2000), 179–188.

3. D. Bertsimas and Y. Ye, “Semidefinite Relaxations, Multivariate Normal Distributions, and Order Statistics,” In D.-Z. Du and P. Pardalos, (eds.), Handbook of Combinatorial Optimization, Kluwer Academic Publishers, 1–19, (1998).

4. M. Borchardt, “An exact penalty approach for solving a class of minimization problems with boolean variables”, Optimization, 19(6) (1988), 829–838.

5. S. Burer, R. D. C. Monteiro and Y. Zhang, “Rank-two relaxation heuristics for MAX-CUT and other binary quadratic programs”, SIAM Journal on Optimization, 12 (2001), 503–521.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discrete Cuckoo Search with Local Search for Max-cut Problem;IFIP Advances in Information and Communication Technology;2017

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