1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.NE2020
Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing
Zhengping Liang, Jian Zhang, Liang Feng +1
The placement scheme of virtual machines (VMs) to physical servers (PSs) is crucial to lowering operational cost for cloud providers. Evolutionary algorithms (EAs) have been perfor…
cs.NE2020
A Two stage Adaptive Knowledge Transfer Evolutionary Multi-tasking Based on Population Distribution for Multi/Many-Objective Optimization
Zhengping Liang, Weiqi Liang, Xiuju Xu +2
Multi-tasking optimization can usually achieve better performance than traditional single-tasking optimization through knowledge transfer between tasks. However, current multi-task…
cs.LG2017★ 1 cited
Concept Drift Adaptation by Exploiting Historical Knowledge
Yu Sun, Ke Tang, Zexuan Zhu +1
Incremental learning with concept drift has often been tackled by ensemble methods, where models built in the past can be re-trained to attain new models for the current data. Two…