Chaomin Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Chaomin Wang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Junjiang Chen
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
1 shared publication - Tuanfa Qin
School of Computer, Electronics and Information, Guangxi University, Nanning, China
1 shared publication - Wenhao Guo
The Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning 530004, China
1 shared publication - Xuchong Gao
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
1 shared publication - Yang Liao
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
1 shared publication - Zhanyong Zhang
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
1 shared publication
Latest Publications
- Open Access
A Multi-Objective Optimization Method and System for Energy Internet Topology Based on Self-Adaptive-NSGA-III
The fourth industrial revolution, driven by the Energy Internet (EI), is having a profound impact on economic development and way of life. With the growth of EI networks, the integration of numerous energy devices poses challenges across different domains. To address this, we propose a self-adaptive NSGA-III algorithm (SA-NSGA-III) for multi-objective optimization of the EI topology, accounting for connectivity, robustness, and operational efficiency. We construct an initial scale-free topology based on real-world EI characteristics and optimize it while preserving its scale-free nature. The method incorporates an adaptive dynamic reference point generation strategy and an adaptive population selection mechanism. Experimental results demonstrate that SA-NSGA-III achieves a 29.5% fitness improvement, outperforming other multi-objective optimization algorithms in both optimization performance and convergence efficiency across various network scales and densities.
Open AccessA Multi-Objective Optimization Method and System for Energy Internet Topology Based on Self-Adaptive-NSGA-III
The fourth industrial revolution, driven by the Energy Internet (EI), is having a profound impact on economic development and way of life. With the growth of EI networks, the integration of numerous energy devices poses challenges across different domains. To address this, we propose a self-adaptive NSGA-III algorithm (SA-NSGA-III) for multi-objective optimization of the EI topology, accounting for connectivity, robustness, and operational efficiency. We construct an initial scale-free topology based on real-world EI characteristics and optimize it while preserving its scale-free nature. The method incorporates an adaptive dynamic reference point generation strategy and an adaptive population selection mechanism. Experimental results demonstrate that SA-NSGA-III achieves a 29.5% fitness improvement, outperforming other multi-objective optimization algorithms in both optimization performance and convergence efficiency across various network scales and densities.