23 citations · 24 across the 8 of their papers we have counts for
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cs.NE2025
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…
cs.NE2025
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…
cs.NE2025
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…