A novel formulation of the max-cut problem and related algorithm

作者:

Highlights:

摘要

In this paper, a new formulation of the max-cut problem is proposed. Several semidefinite programming(SDP) relaxations of the max-cut problem are given and some relationships between them are put forward. Based on a new SDP relaxation, an algorithm is presented for finding a better approximate solution of the max-cut problem and we show the advantages of our model and algorithm with several examples.

论文关键词:Max-cut problem,Formulation,SDP relaxation,Algorithm

论文评审过程:Received 13 April 2019, Revised 1 July 2019, Accepted 6 December 2019, Available online 24 December 2019, Version of Record 24 December 2019.

论文官网地址:https://doi.org/10.1016/j.amc.2019.124970