5 papers
Biochemical Computing Mode for Sequential Logic
Han Huang, Chengzhi Ma, Yuxin Zhao +4
Recent years have witnessed the growing scholarly interest in the next-generation general-purpose computers. Various innovative computing modes have been proposed, such as optical,…
Running-time Analysis of () Evolutionary Combinatorial Optimization Based on Multiple-gain Estimation
Min Huang, Pengxiang Chen, Han Huang +3
The running-time analysis of evolutionary combinatorial optimization is a fundamental topic in evolutionary computation. However, theoretical results regarding the evolutio…
An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
Han Huang, Tianyu Wang, Chaoda Peng +2
Multi-objective evolutionary algorithms (MOEAs) have become essential tools for solving multi-objective optimization problems (MOPs), making their running time analysis crucial for…
Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization
Min Huang, Pengxiang Chen, Han Huang +3
The running-time analysis of evolutionary combinatorial optimization is a fundamental topic in evolutionary computation. Its current research mainly focuses on specific algorithms…
Zero-Shot NAS via the Suppression of Local Entropy Decrease
Ning Wu, Han Huang, Yueting Xu +1
Architecture performance evaluation is the most time-consuming part of neural architecture search (NAS). Zero-Shot NAS accelerates the evaluation by utilizing zero-cost proxies ins…