Applying a Hybrid Gray Wolf-Enhanced Whale Optimization Algorithm to the Capacitated Vehicle Routing Problem
The study presents a novel hybrid gray wolf and whale optimization algorithm (hGWOAM) for the capacitated vehicle routing problem (CVRP). By integrating the enhanced whale optimization algorithm (EWOA) and gray wolf optimizer (GWO) with tournament selection, opposition-based learning, and mutation t...
Saved in:
| Main Authors: | Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/atr/5584617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Innovative hybrid algorithm for efficient routing of limited capacity vehicles
by: Vu Hong Son Pham, et al.
Published: (2025-03-01) -
Optimizing Constrained Engineering Optimization Problems Using Improved Mountain Gazelle Optimizer
by: Vu Hong Son Pham, et al.
Published: (2025-01-01) -
Enhancing Global Optimization through the Integration of Multiverse Optimizer with Opposition-Based Learning
by: Vu Hong Son Pham, et al.
Published: (2024-01-01) -
Where to Split in Hybrid Genetic Search for the Capacitated Vehicle Routing Problem
by: Lars Magnus Hvattum
Published: (2025-03-01) -
Research on Optimization of Improved Gray Wolf Optimization-Extreme Learning Machine Algorithm in Vehicle Route Planning
by: Shijin Li, et al.
Published: (2020-01-01)