A Low-Carbon Scheduling Method for Container Intermodal Transport Using an Improved Grey Wolf–Harris Hawks Hybrid Algorithm
Container intermodal scheduling is critical for advancing low-carbon logistics within inland port systems. However, the scheduling process faces several challenges, including the complexity of coordinating transport modes and complying with carbon emission policies. To address these issues, this stu...
Saved in:
| Main Authors: | Meixian Jiang, Shuying Lv, Yuqiu Zhang, Fan Wu, Zhi Pei, Guanghua Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/9/4698 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification
by: Ramia Ouederni, et al.
Published: (2025-07-01) -
The Hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A New Hybrid Algorithm for Sizing Optimization and Design of Microgrids
by: Ipek Cetinbas, et al.
Published: (2022-01-01) -
Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems
by: Aala Kalananda Vamsi Krishna Reddy, et al.
Published: (2022-01-01) -
Maximizing Output Power for Solar Panel using Grey Wolf Optimization
by: Ali Nadhim Hamoodi, et al.
Published: (2022-09-01) -
A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Yuyang Zhou, et al.
Published: (2025-07-01)