97 citations · 287 across the 26 of their papers we have counts for
4 papers · 1 filter
On Performance Estimation in Automatic Algorithm Configuration
Shengcai Liu, Ke Tang, Yunwen Lei +1
Over the last decade, research on automated parameter tuning, often referred to as automatic algorithm configuration (AAC), has made significant progress. Although the usefulness o…
Competitive Coevolution as an Adversarial Approach to Dynamic Optimization
Xiaofen Lu, Ke Tang, Stefan Menzel +1
Dynamic optimization, for which the objective functions change over time, has attracted intensive investigations due to the inherent uncertainty associated with many real-world pro…
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms
Hao Tong, Jialin Liu, Xin Yao
Surrogate-assisted evolutionary algorithms (SAEAs) are powerful optimisation tools for computationally expensive problems (CEPs). However, a randomly selected algorithm may fail in…
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems
Hao Tong, Changwu Huang, Jialin Liu +1
Very expensive problems are very common in practical system that one fitness evaluation costs several hours or even days. Surrogate assisted evolutionary algorithms (SAEAs) have be…