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Novel Local Search Method for the Traveling Salesman Problem
作者姓名:黄文奇  王磊
作者单位:CollegeofComputerScienceandTechnology,HuazhongUniversityofScienceandTechnology,Wuhan430074,China
基金项目:TheNationalGrandFundamentalResearch973ProgramofChina(No.G1998030600).
摘    要:A new local search method for the traveling salesman problem based on an original greedy representation of solution space and neighborhood structure is proposed. First, a partial closed route that only consists of three cities is given; then other cities are added to this route by a greedy procedure successively. Implemented on a personal computer, this algorithm finds optimal solutions for 24 out of 27 standard benchmarks, and outperforms the Full Subpath Ejection Algorithm (F-SEC) proposed by Rego in 1998.

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Novel Local Search Method for the Traveling Salesman Problem
Huang Wenqi,Wang Lei.Novel Local Search Method for the Traveling Salesman Problem[J].Journal of Southwest Jiaotong University,2005,13(1):1-4.
Authors:Huang Wenqi  Wang Lei
Abstract:A new local search method for the traveling salesman problem based on an original greedy representation of solution space and neighborhood structure is proposed. First, a partial closed route that only consists of three cities is given; then other cities are added to this route by a greedy procedure successively. Implemented on a personal computer, this algorithm finds optimal solutions for 24 out of 27 standard benchmarks, and outperforms the Full Subpath Ejection Algorithm (F-SEC) proposed by Rego in 1998.
Keywords:Traveling salesman problem  Heuristics  Local search
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