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The design of path optimization in express transportation based on an improved ant colony algorithm

Lingling Zhang

Lingling Zhang

School of Supply Chain Management, Ningbo PolytechnicBeilun Ningbo, China
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Zhang, Lingling
  
27 févr. 2025
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Publié en ligne: 27 févr. 2025
Reçu: 14 sept. 2024
Accepté: 08 janv. 2025
DOI: https://doi.org/10.2478/amns-2025-0128
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© 2025 Lingling Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Schematic Diagram of Vehicle Route Planning
Schematic Diagram of Vehicle Route Planning

Figure 2.

Flowchart of the AC algorithm
Flowchart of the AC algorithm

Figure 4.

Flowchart of the IAC
Flowchart of the IAC

Figure 5.

Distribution of express delivery locations
Distribution of express delivery locations

Figure. 6.

Optimal path comparison
Optimal path comparison

Figure 7.

Average Path Comparison
Average Path Comparison

Figure 8.

Comparison of iterative convergence of small-scale populations
Comparison of iterative convergence of small-scale populations

Figure 9.

Comparison of Iterative Convergence of Medium sized Population
Comparison of Iterative Convergence of Medium sized Population

Figure 10.

Comparison of Iterative Convergence of Large Scale Population
Comparison of Iterative Convergence of Large Scale Population

Comparison of Iteration Data Between the Two Algorithms

Algorithm Worst value Best value Best value Stable point Final convergence value
AC 246.9km 229.94km 50 50 260
IAC 234.6km 224.88km 18 15 230
Improvement Rate 5 2.2 64 70 11.5
Langue:
Anglais
Périodicité:
1 fois par an
Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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