4 papers
Pareto Optimization with Robust Evaluation for Noisy Subset Selection
Yiheng Xu, Danxuan Liu, Bin Zhang +2
Subset selection is a fundamental problem in combinatorial optimization, which has a wide range of applications such as influence maximization and sparse regression. The goal is to…
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Dan-Xuan Liu, Chao Qian
Subset selection with cost constraints aims to select a subset from a ground set to maximize a monotone objective function without exceeding a given budget, which has various appli…
Migrant Resettlement by Evolutionary Multi-objective Optimization
Dan-Xuan Liu, Yu-Ran Gu, Chao Qian +2
Migration has been a universal phenomenon, which brings opportunities as well as challenges for global development. As the number of migrants (e.g., refugees) increases rapidly in…
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
Dan-Xuan Liu, Yi-Heng Xu, Chao Qian
Peptide vaccines are growing in significance for fighting diverse diseases. Machine learning has improved the identification of peptides that can trigger immune responses, and the…