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Ant Colony Optimization with Pre-exploration of Outliers for TSP

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成果类型:
会议论文
作者:
Meng, Haoyu;Guo, Jinglei;Shi, Zeyuan
通讯作者:
Guo, JL
作者机构:
[Guo, Jinglei; Meng, Haoyu; Shi, Zeyuan; Guo, JL] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
通讯机构:
[Guo, JL ] C
Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
语种:
英文
关键词:
ant colony optimization;traveling salesman problem;outlier;route construction
期刊:
PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION
年:
2023
页码:
91-94
会议名称:
Genetic and Evolutionary Computation Conference (GECCO)
会议时间:
JUL 15-19, 2023
会议地点:
Lisbon, PORTUGAL
会议主办单位:
[Meng, Haoyu;Guo, Jinglei;Shi, Zeyuan] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
出版地:
1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
出版者:
ASSOC COMPUTING MACHINERY
ISBN:
979-8-4007-0120-7
基金类别:
Fundamental Research Funds for the Central Universities [CCNU20TS026]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Constructing a finite set of candidates for each node has been proved that it is an effective means in ant colony optimization (ACO) for solving the travelling salesman problem (TSP). However, some neighbor nodes in the optimal routes are two nodes with large separation distance. To solve this problem, this paper proposes an ACO with pre -exploration of outliers (ACO-EO). The techniques in ACO-EO include: a) the outliers selection, b) pre -exploration adjacent nodes for outliers. To verify the effectiveness of the ACO-EO, a number of experiments are conducted using 30 benchmark instances (rang...

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