Applied Soft Computing, Journal Year: 2022, Volume and Issue: 127, P. 109326 - 109326
Published: July 19, 2022
Language: Английский
Applied Soft Computing, Journal Year: 2022, Volume and Issue: 127, P. 109326 - 109326
Published: July 19, 2022
Language: Английский
IEEE Transactions on Intelligent Transportation Systems, Journal Year: 2021, Volume and Issue: 23(6), P. 5275 - 5286
Published: Jan. 28, 2021
Dynamic vehicle routing problems (DVRPs) have become a hot research topic due to their significance in logistics, although it is still very challenging for existing algorithms solve DVRPs the dynamically changing customer requests during optimization. In this paper, we propose pairwise proximity learning-based ant colony algorithm, termed PPL-ACO, tackling DVRPs. learning method suggested predict local visiting order of customers optimal route after occurrence changes, which on basis from routes found before changes occur. A radial function network used learn based between each pair nodes, by can be quickly tracked Experimental results 22 popular DVRP instances show that proposed PPL-ACO significantly outperforms four state-of-the-art approaches More interestingly, five large-scale demonstrate superiority solving DVPRs with up 1000 customers. The real case Nankai Strict, Tianjin, China also verifies more effective and efficient than compared real-world
Language: Английский
Citations
47Computers & Industrial Engineering, Journal Year: 2021, Volume and Issue: 154, P. 107131 - 107131
Published: Jan. 19, 2021
Language: Английский
Citations
46International Journal of Systems Assurance Engineering and Management, Journal Year: 2016, Volume and Issue: 9(1), P. 155 - 172
Published: June 4, 2016
Language: Английский
Citations
49Swarm and Evolutionary Computation, Journal Year: 2021, Volume and Issue: 68, P. 100975 - 100975
Published: Sept. 7, 2021
Language: Английский
Citations
33Applied Soft Computing, Journal Year: 2022, Volume and Issue: 127, P. 109326 - 109326
Published: July 19, 2022
Language: Английский
Citations
27