7 citations · 12 across the 4 of their papers we have counts for
6 papers
Multi-agent Dynamic Algorithm Configuration
Ke Xue, Jiacheng Xu, Lei Yuan +4
Automated algorithm configuration relieves users from tedious, trial-and-error tuning tasks. A popular algorithm configuration tuning paradigm is dynamic algorithm configuration (D…
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization
Chao Bian, Yawen Zhou, Chao Qian
Subset selection, which aims to select a subset from a ground set to maximize some objective function, arises in various applications such as influence maximization and sensor plac…
Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection
Chao Bian, Chao Qian
Evolutionary algorithms (EAs) have been widely used to solve multi-objective optimization problems, and have become the most popular tool. However, the theoretical foundation of mu…
Bayesian Optimization using Pseudo-Points
Chao Qian, Hang Xiong, Ke Xue
Bayesian optimization (BO) is a popular approach for expensive black-box optimization, with applications including parameter tuning, experimental design, robotics. BO usually model…
Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization
Yibo Zhang, Chao Qian, Ke Tang
In this paper, we study the problem of monotone (weakly) DR-submodular continuous maximization. While previous methods require the gradient information of the objective function, w…
A Lower Bound Analysis of Population-based Evolutionary Algorithms for Pseudo-Boolean Functions
Chao Qian, Yang Yu, Zhi-Hua Zhou
Evolutionary algorithms (EAs) are population-based general-purpose optimization algorithms, and have been successfully applied in various real-world optimization tasks. However, pr…