Solving the maximum vertex weight clique problem via binary quadratic programming

Solving the maximum vertex weight clique problem via binary quadratic programming
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通过二元二次规划求解最大顶点权值团问题

DOI:
10.1007/s10878-016-9990-2
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发表时间:
2016-01
影响因子:
1
通讯作者:
Wu Qinghua
Wu Qinghua
中科院分区:
数学4区
文献类型:
--
作者:
Wang Yang;Hao Jin-Kao;Glover Fred;Lu Zhipeng;Wu Qinghua

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In recent years, the general binary quadratic programming (BQP) model has been widely applied to solve a number of combinatorial optimization problems. In this paper, we recast the maximum vertex weight clique problem (MVWCP) into this model which is then solved by a probabilistic tabu search algorithm designed for the BQP. Experimental results on 80 challenging DIMACS-W and 40 BHOSLIB-W benchmark instances demonstrate that this general approach is viable for solving the MVWCP problem.
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