Wenchao Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Wenchao Chen has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Xiaoyun Jiang
School of Economics and Management, Xiamen University of Technology, Xiamen, China
1 shared publication - Yi Liu
School of Economics and Management, Xiamen University of Technology, Xiamen, China
1 shared publication
Latest Publications
- Open Access
- 1 October 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 12, 153497-153518
PSO-Augmented NSGA-III Algorithm: A Combined Optimization Approach to Heterogeneous Vehicle Routing and Bin Packing Problems
This study presents an Integrated Particle Swarm Optimization and Nondominated Sorting Genetic Algorithm III (IPSO-NSGA-III) to address the combined optimization challenges in logistics enterprises of heterogeneous vehicle routing and bin packing. The algorithm is designed to optimize four critical performance metrics: travel distance, time penalty costs, vehicle loading efficiency, and fixed vehicle costs. By enhancing vehicle routing and bin packing strategies, the approach targets the reduction of logistics distribution costs and increases in vehicle loading rates, ultimately enhancing the cost-effectiveness of distribution operations. The performance of IPSO-NSGA-III is rigorously evaluated through multi-objective function testing and a detailed case study, where it is compared against other leading-edge algorithms. The case study results show that, the IPSO-NSGA-III outperforms the NSGA-III by delivering more effective solutions that consider the interplay between vehicle routing and bin packing. The optimized solutions facilitate a decrease in operational expenses and an improvement in logistics efficiency, which translates to higher customer satisfaction and stronger competitiveness for logistics companies.
- 1 October 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 12, 153497-153518
Open AccessPSO-Augmented NSGA-III Algorithm: A Combined Optimization Approach to Heterogeneous Vehicle Routing and Bin Packing Problems
This study presents an Integrated Particle Swarm Optimization and Nondominated Sorting Genetic Algorithm III (IPSO-NSGA-III) to address the combined optimization challenges in logistics enterprises of heterogeneous vehicle routing and bin packing. The algorithm is designed to optimize four critical performance metrics: travel distance, time penalty costs, vehicle loading efficiency, and fixed vehicle costs. By enhancing vehicle routing and bin packing strategies, the approach targets the reduction of logistics distribution costs and increases in vehicle loading rates, ultimately enhancing the cost-effectiveness of distribution operations. The performance of IPSO-NSGA-III is rigorously evaluated through multi-objective function testing and a detailed case study, where it is compared against other leading-edge algorithms. The case study results show that, the IPSO-NSGA-III outperforms the NSGA-III by delivering more effective solutions that consider the interplay between vehicle routing and bin packing. The optimized solutions facilitate a decrease in operational expenses and an improvement in logistics efficiency, which translates to higher customer satisfaction and stronger competitiveness for logistics companies.