International Journal of Systems Science Operations & Logistics, Journal Year: 2024, Volume and Issue: 11(1)
Published: Sept. 9, 2024
Language: Английский
International Journal of Systems Science Operations & Logistics, Journal Year: 2024, Volume and Issue: 11(1)
Published: Sept. 9, 2024
Language: Английский
Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 194, P. 103954 - 103954
Published: Jan. 8, 2025
Language: Английский
Citations
3Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 192, P. 103798 - 103798
Published: Sept. 30, 2024
Language: Английский
Citations
13Transportation Research Part B Methodological, Journal Year: 2025, Volume and Issue: 194, P. 103184 - 103184
Published: Feb. 25, 2025
Language: Английский
Citations
1Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 197, P. 104042 - 104042
Published: March 2, 2025
Language: Английский
Citations
1Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109700 - 109700
Published: Nov. 21, 2024
Language: Английский
Citations
5Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126875 - 126875
Published: Feb. 1, 2025
Language: Английский
Citations
0Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: 312, P. 113146 - 113146
Published: Feb. 14, 2025
Language: Английский
Citations
0International Journal of Systems Science Operations & Logistics, Journal Year: 2025, Volume and Issue: 12(1)
Published: Feb. 22, 2025
Language: Английский
Citations
0International Journal of Systems Science Operations & Logistics, Journal Year: 2025, Volume and Issue: 12(1)
Published: Feb. 25, 2025
Language: Английский
Citations
0Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1449 - 1449
Published: May 9, 2025
To duly and correctly deliver parcels, both the capacity delivery route of a vehicle need to be considered. Thus, process can characterized as capacitated routing problem with three-dimensional loading constraints (3L-CVRP), which is an NP-hard problem. solve problem, mathematical model established in this paper minimize total distance maximize rate, simultaneously. Additionally, hybrid algorithm that combines (3D) packing based on residual space optimized (RSO) strategy improved genetic (IGA) proposed. Initially, proposed employs modified Clarke–Wright savings generate feasible set solutions. Furthermore, building upon traditional algorithm, elite retention introduced, enhanced order crossover method utilized improve stability its global search capability for optimal Finally, during each iteration RSO integrated verify feasibility 3D scheme. Two comparative experiments are conducted 22 benchmark instances actual logistics data university against two other algorithms, demonstrating RSO-IGA achieves superior solutions efficiency.
Language: Английский
Citations
0