2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.NE2026★ 2 cited
Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization
Shuai Shao, Ye Tian, Shangshang Yang +1
Constrained multi-objective optimization problems (CMOPs) are of great significance in the context of practical applications, ranging from scientific to engineering domains. Most e…
physics.soc-ph2022
Machine learning prediction of network dynamics with privacy protection
Xin Xia, Yansen Su, Linyuan Lv +3
Predicting network dynamics based on data, a problem with broad applications, has been studied extensively in the past, but most existing approaches assume that the complete set of…
physics.soc-ph2016
A Unified Method of Detecting Core-Periphery Structure and Community Structure in Networks
Bing-Bing Xiang, Zhong-Kui Bao, Chuang Ma +3
Core-periphery structure and community structure are two typical meso-scale structures in complex networks. Though the community detection has been extensively investigated from di…