no code implementations • 29 Sep 2021 • Cong Wang, Jun He, Yu Chen, Xiufen Zou
Although differential evolution (DE) algorithms perform well on a large variety of complicated optimization problems, only a few theoretical studies are focused on the working principle of DE algorithms.
no code implementations • 20 Oct 2019 • Yu Chen, Yuanyuan Yang, Yaochu Jin, Xiufen Zou
Motivation: Identifying interaction clusters of large gene regulatory networks (GRNs) is critical for its further investigation, while this task is very challenging, attributed to data noise in experiment data, large scale of GRNs, and inconsistency between gene expression profiles and function modules, etc.
no code implementations • 16 Dec 2015 • Yu Chen, Xiufen Zou
Inference of gene regulatory networks (GRNs) based on experimental data is a challenging task in bioinformatics.
no code implementations • 6 Jan 2014 • Yu Chen, Weicheng Xie, Xiufen Zou
Although real-coded differential evolution (DE) algorithms can perform well on continuous optimization problems (CoOPs), it is still a challenging task to design an efficient binary-coded DE algorithm.