22 citations · 76 across the 26 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.NE2017
Maximizing Submodular or Monotone Approximately Submodular Functions by Multi-objective Evolutionary Algorithms
Chao Qian, Yang Yu, Ke Tang +2
Evolutionary algorithms (EAs) are a kind of nature-inspired general-purpose optimization algorithm, and have shown empirically good performance in solving various real-word optimiz…
cs.NE2017★ 2 cited
Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise
Chao Qian, Chao Bian, Wu Jiang +1
In many real-world optimization problems, the objective function evaluation is subject to noise, and we cannot obtain the exact objective value. Evolutionary algorithms (EAs), a ty…