Abstract:
Path optimization of logistics distribution vehicles is researched to improve the efficiency of intelligent logistics systems. The logistics distribution system based on ...Show MoreMetadata
Abstract:
Path optimization of logistics distribution vehicles is researched to improve the efficiency of intelligent logistics systems. The logistics distribution system based on urban rail transportation is analyzed. A mathematical model is constructed for the Vehicle Routing Problem (VRP) of multiple distribution centers. A novel Concentration-Immune Algorithm Particle Swarm Optimization (C-IAPSO) is proposed based on the respective advantages of C-IA and PSO in vehicle path optimization combining the concept of antibody concentration. C-IAPSO first calculates the concentration selection probability of particles in the swarm and updates the immune memory bank as per the optimal particle retention strategy to ensure the diversity of the antibody swarm. To assess the performance of C-IAPSO, seven standard test functions are selected for comparison experiments; results prove that it can provide the fastest convergence rate. On unimodal functions Sphere and Quadric, the accuracy of C-IAPSO gets improved significantly. The specific conditions of the distribution center and the demand spots are analyzed; the vehicle travels 508.40 km in total under the optimal distribution path calculated by C-IAPSO, which is a notable decrease compared with the 600.40 km of Adaptive PSO (APSO). To sum up, applying C-IAPSO to vehicle path optimization of intelligent logistics systems can improve transportation efficiency and reduce transportation costs.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 23, Issue: 2, February 2022)
Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, China
Kaijun Leng received the B.S. degree from Wuhan University of Technology, Wuhan, China, in 2006, and the Ph.D. degree from Huazhong University of Science and Technology, Wuhan, in 2010. He is currently a Professor with the Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan. His research interests include intelligent transportation system modeling, supply chain management optimization, and...Show More
Kaijun Leng received the B.S. degree from Wuhan University of Technology, Wuhan, China, in 2006, and the Ph.D. degree from Huazhong University of Science and Technology, Wuhan, in 2010. He is currently a Professor with the Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan. His research interests include intelligent transportation system modeling, supply chain management optimization, and...View more
International College Beijing, China Agricultural University, Beijing, China
Shanghong Li received the Ph.D. degree from Clemson University, Clemson, SC, USA, in 2012. She is currently working as an Assistant Professor with the International College Beijing, China Agricultural University, China. Her research interests include stochastic optimization, data analysis, time series, and climate change point problems.
Shanghong Li received the Ph.D. degree from Clemson University, Clemson, SC, USA, in 2012. She is currently working as an Assistant Professor with the International College Beijing, China Agricultural University, China. Her research interests include stochastic optimization, data analysis, time series, and climate change point problems.View more
Contents Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, China
Kaijun Leng received the B.S. degree from Wuhan University of Technology, Wuhan, China, in 2006, and the Ph.D. degree from Huazhong University of Science and Technology, Wuhan, in 2010. He is currently a Professor with the Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan. His research interests include intelligent transportation system modeling, supply chain management optimization, and logistics operation.
Kaijun Leng received the B.S. degree from Wuhan University of Technology, Wuhan, China, in 2006, and the Ph.D. degree from Huazhong University of Science and Technology, Wuhan, in 2010. He is currently a Professor with the Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan. His research interests include intelligent transportation system modeling, supply chain management optimization, and logistics operation.View more
International College Beijing, China Agricultural University, Beijing, China
Shanghong Li received the Ph.D. degree from Clemson University, Clemson, SC, USA, in 2012. She is currently working as an Assistant Professor with the International College Beijing, China Agricultural University, China. Her research interests include stochastic optimization, data analysis, time series, and climate change point problems.
Shanghong Li received the Ph.D. degree from Clemson University, Clemson, SC, USA, in 2012. She is currently working as an Assistant Professor with the International College Beijing, China Agricultural University, China. Her research interests include stochastic optimization, data analysis, time series, and climate change point problems.View more
