A new discrete filled function method for solving large scale max-cut problems

Author:

Ling Ai-fan,Xu Cheng-xian

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference25 articles.

1. Abraham, D., Ángel, S., Felipe, F., Raúl, C.: A low-level hybridization between memetic algorithm and VNS for the max-cut problem. In: GECCO’05, pp. 999–1006, 25–29 June, Washington, DC, USA (2005)

2. Alizadeh, F., Haeberly, J., Nayakkankuppam, M., Overton, M., Schmieta, S.: SDPPACK User’s Guide: Version 0.9 beta for MATLAB 5.0 (1997)

3. Alperin, H., Nowak, I.: Lagrangian smoothing heuristics for max-cut. J. Heuristics 11, 447–463 (2005)

4. Barahona, F., Grötschel, M., Jünger, M., Reinelt, G.: An application of combinatorial optimization to statistical physics and circuit layout design. Oper. Res. 36, 493–513 (1988)

5. Bertsimas, D., Ye, Y.: Semidefinite relaxations, multivariate normal distributions, and order statistics. In: Du, D.-Z., Pardalos, P. (eds.) Handbook of Combinatorial Optimization, pp. 1–17. Kluwer Academic Publishers (1998)

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1. Non parameter-filled function for global optimization;Applied Mathematics and Computation;2021-02

2. A memetic algorithm for the max-cut problem;International Journal of Computing Science and Mathematics;2015

3. Combining Clustered Adaptive Multistart and Discrete Dynamic Convexized Method for the Max-Cut Problem;Journal of the Operations Research Society of China;2014-06

4. The physics of custody;The European Physical Journal B;2014-02

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