Research on Vehicle Routing Planning Based on Adaptive Ant Colony and Particle Swarm Optimization Algorithm | |
Jiang, Chunyan1,2; Fu, Jingfang1,2; Liu, Weiyan1,2 | |
2021-04 | |
发表期刊 | INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH
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ISSN | 1348-8503 |
卷号 | 19期号:1页码:83-91 |
摘要 | Aiming at vehicle routing problem and combining the advantages of ant colony and particle swarm optimization, an intelligent optimization algorithm of adaptive ant colony and particle swarm optimization is proposed. Through the simulation of ant colony and bird swarm intelligence mechanism, the particle swarm algorithm and the ant colony algorithm heuristic strategy are combined, and different search strategies are used in different stages of the algorithm. The adaptive adjustment is adopted, and the feedback information is obtained by dynamic interaction with the environment, thus speeding up the convergence speed, improving the learning ability, avoiding the local optimum, getting the best solution and improving the efficiency. The simulation experiment shows that the algorithm has fast convergence speed, strong optimization ability, and can obtain better optimization results. It has some advantages in solving vehicle routing problem. |
关键词 | Adaptive Ant colony Particle swarm optimization Hybrid optimization algorithm Vehicle routing problem |
DOI | 10.1007/s13177-020-00224-3 |
收录类别 | ESCI |
语种 | 英语 |
WOS研究方向 | Transportation |
WOS类目 | Transportation Science & Technology |
WOS记录号 | WOS:000521070500001 |
出版者 | SPRINGER |
原始文献类型 | Article ; Early Access |
EISSN | 1868-8659 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.library.ouchn.edu.cn/handle/39V7QQFX/168462 |
专题 | 国家开放大学江苏分部 |
通讯作者 | Jiang, Chunyan |
作者单位 | 1.Jiangsu Open Univ, Room 1203,399 Jiangdong North Rd, Nanjing 210036, Jiangsu, Peoples R China; 2.City Vocat Coll Jiangsu, Nanjing 210036, Peoples R China |
第一作者单位 | 国家开放大学江苏分部 |
通讯作者单位 | 国家开放大学江苏分部 |
第一作者的第一单位 | 国家开放大学江苏分部 |
推荐引用方式 GB/T 7714 | Jiang, Chunyan,Fu, Jingfang,Liu, Weiyan. Research on Vehicle Routing Planning Based on Adaptive Ant Colony and Particle Swarm Optimization Algorithm[J]. INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH,2021,19(1):83-91. |
APA | Jiang, Chunyan,Fu, Jingfang,&Liu, Weiyan.(2021).Research on Vehicle Routing Planning Based on Adaptive Ant Colony and Particle Swarm Optimization Algorithm.INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH,19(1),83-91. |
MLA | Jiang, Chunyan,et al."Research on Vehicle Routing Planning Based on Adaptive Ant Colony and Particle Swarm Optimization Algorithm".INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH 19.1(2021):83-91. |
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