A tabu search based hybrid evolutionary algorithm for the max-cut problem
A tabu search based hybrid evolutionary algorithm for the max-cut problem
复制标题
基于禁忌搜索的最大割问题混合进化算法
DOI:
10.1016/j.asoc.2015.04.033
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发表时间:
2015-09
影响因子:
8.7
通讯作者:
Lu, Zhipeng
中科院分区:
文献类型:
--
作者:
Wu, Qinghua;Wang, Yang;Lu, Zhipeng
This paper presents a tabu search based hybrid evolutionary algorithm (TSHEA) for solving the max-cut problem. The proposed algorithm integrates a distance-and-quality based solution combination operator and a tabu search procedure based on neighborhood combination of one-flip and constrained exchange moves. Comparisons with leading reference algorithms from the literature disclose that the proposed algorithm discovers new best solutions for 15 out of 91 instances, while matching the best known solutions on all but 4 instances. Analysis indicates that the neighborhood combination and the solution combination operator play key roles to the effectiveness of the proposed algorithm.
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DOI:
10.1287/ijoc.1080.0275
发表时间:
2009
期刊:
INFORMS J. Comput.
影响因子:
--
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通讯作者:
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期刊:
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通讯作者:
T. Stützle
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通讯作者:
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DOI:
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期刊:
Eur. J. Oper. Res.
影响因子:
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作者:
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通讯作者:
Yang Wang;Zhipeng Lü;F. Glover;Jin-Kao Hao
DOI:
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发表时间:
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影响因子:
--
作者:
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通讯作者:
Qinghua Wu;Jin-Kao Hao