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基于伪布尔模型和启发式算法求解无容量设施选址问题 被引量:2

Solving Uncapacitated Facility Location Problems Using Pseudo-Boolean Model and Heuristic Algorithms
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摘要 采用伪布尔模型和启发式算法来求解无容量设施选址问题。首先给出了问题的伪布尔(pseudo-Boolean)表示,然后基于Khumawala规则对问题进行预处理,最后提出两种启发式分支准则来求解问题。实验结果表明所提算法简单有效。 The UFLPs were solved based on pseudo-Boolean model and heuristic algorithm herein.Firstly,the pseudo-Boolean representation of UFLPs was given,and the Khumawala rules were used to preprocess the input instances.Finally,two heuristic branching criterions were presented to solve the problems.Experimental results show that the new method is simple and efficient.
作者 凌海峰 LING Haifeng(School of Management,Hefei University of Technology,Hefei,230009;Key Laboratory of Process Optimization and Intelligent Decision-making,Ministry of Education,Hefei,230009)
出处 《中国机械工程》 EI CAS CSCD 北大核心 2018年第24期2966-2971,共6页 China Mechanical Engineering
基金 国家自然科学基金资助重大项目(71490725) 国家自然科学基金资助重点项目(71531008) 国家自然科学基金资助项目(71371062 71271073)
关键词 无容量设施选址问题(UFLP) 伪布尔表示 Khumawala规则 启发式分支准则 uncapacitated facility location problem(UFLP) pseudo-Boolean representation Khu-mawala rule heuristic branching criteria
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