Solving large scale capacitated arc routing problem based on route cutting off decomposition and adaptive detection

被引:0
|
作者
Fang W. [1 ]
Zhu J.-Y. [1 ]
机构
[1] (1. Jiangsu Artificial Intelligence International Cooperation Joint Laboratory, Jiangnan University, Wuxi 214122, China;2. Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University
来源
Kongzhi yu Juece/Control and Decision | 2023年 / 38卷 / 12期
关键词
adaptive; capacitated arc routing problem; combinatorial optimization; divide and conquer; large scale optimization; route cutting off decomposition;
D O I
10.13195/j.kzyjc.2022.0300
中图分类号
学科分类号
摘要
The large scale capacitated arc routing problem (LSCARP) is a combinatorial optimization problem and has a wide range of applications. The divide and conquer strategy is one of the effective methods to solve the LSCARP. In order to use the divide and conquer strategy to obtain better decomposition results, an improved route cutting operator is proposed to solve the LSCARP. The proposed operator can automatically identify the path with poor shape in the path set and carry out targeted processing on it. In order to achieve better decomposition by reorganizing the divided paths in the iteration, it is beneficial for the algorithm to jump out of the local optimum and obtain a smaller final cost. In addition, since the structure of the LSCARP may affect the final effect of the algorithm, an adaptive dataset detection operator is designed, which can allocate parameters according to the relationship between the task edge and non-task edge in order to improve the decomposition quality. Finally, the above two operators are used in the SHAiD algorithm. The effectiveness of the proposed algorithm is evaluated by compared with the stat-of-the-art-algorithms. © 2023 Northeast University. All rights reserved.
引用
收藏
页码:3571 / 3577
页数:6
相关论文
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