8 citations · 9 across the 5 of their papers we have counts for
5 papers
Evolutionary Multi-Objective Diversity Optimization
Anh Viet Do, Mingyu Guo, Aneta Neumann +1
Creating diverse sets of high quality solutions has become an important problem in recent years. Previous works on diverse solutions problems consider solutions' objective quality…
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties
Xiankun Yan, Anh Viet Do, Feng Shi +2
Chance constraints are frequently used to limit the probability of constraint violations in real-world optimization problems where the constraints involve stochastic components. We…
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint
Anh Viet Do, Mingyu Guo, Aneta Neumann +1
Finding diverse solutions to optimization problems has been of practical interest for several decades, and recently enjoyed increasing attention in research. While submodular optim…
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
Anh Viet Do, Aneta Neumann, Frank Neumann +1
We study the multi-objective minimum weight base problem, an abstraction of classical NP-hard combinatorial problems such as the multi-objective minimum spanning tree problem. We p…
Analysis of Quality Diversity Algorithms for the Knapsack Problem
Adel Nikfarjam, Anh Viet Do, Frank Neumann
Quality diversity (QD) algorithms have been shown to be very successful when dealing with problems in areas such as robotics, games and combinatorial optimization. They aim to maxi…