Gathering Strength, Gathering Storms: Knowledge Transfer via Selection for VRPTW
Recently, due to the growth in machine learning and data mining, for scheduling applications in China’s industrial intelligence, we are quite fortunate to witness a paradigm of evolutionary scheduling via learning, which includes a new tool of evolutionary transfer optimization (ETO). As a new subse...
Main Authors: | Wendi Xu, Xianpeng Wang, Qingxin Guo, Xiangman Song, Ren Zhao, Guodong Zhao, Yang Yang, Te Xu, Dakuo He |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/16/2888 |
Similar Items
-
Decomposition Is All You Need: Single-Objective to Multi-Objective Optimization towards Artificial General Intelligence
by: Wendi Xu, et al.
Published: (2023-10-01) -
‘Brazil and the Gathering Storm’
by: Hurrell, A
Published: (2009) -
Self-Regulated Particle Swarm Multi-Task Optimization
by: Xiaolong Zheng, et al.
Published: (2021-11-01) -
Optimized Sharable-Slot Allocation Using Multiple Channels to Reduce Data-Gathering Delay in Wireless Sensor Networks
by: Phan Van Vinh, et al.
Published: (2016-04-01) -
Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning
by: Luqin Fan, et al.
Published: (2021-01-01)