activity
20162026
most citedPareto Optimization for Subset Selection with Dynamic Cost Constraints

61 citations · 242 across the 48 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.CR2022★ 1 cited

Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

Mingyu Guo, Max Ward, Aneta Neumann +2

Active Directory (AD) is the default security management system for Windows domain networks. An AD environment naturally describes an attack graph where nodes represent computers/a…

cs.NE2022

Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation

Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann +1

Diversification in a set of solutions has become a hot research topic in the evolutionary computation community. It has been proven beneficial for optimisation problems in several…

cs.NE2022

Evolutionary Time-Use Optimization for Improving Children's Health Outcomes

Yue Xie, Aneta Neumann, Ty Stanford +3

How someone allocates their time is important to their health and well-being. In this paper, we show how evolutionary algorithms can be used to promote health and well-being by opt…

cs.NE2022★ 2 cited

Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits

Aneta Neumann, Yue Xie, Frank Neumann

Evolutionary algorithms have been widely used for a range of stochastic optimization problems in order to address complex real-world optimization problems. We consider the knapsack…

cs.NE2022

Coevolutionary Pareto Diversity Optimization

Aneta Neumann, Denis Antipov, Frank Neumann

Computing diverse sets of high quality solutions for a given optimization problem has become an important topic in recent years. In this paper, we introduce a coevolutionary Pareto…

cs.NE2022★ 1 cited

Evolutionary Diversity Optimisation for The Traveling Thief Problem

Adel Nikfarjam, Aneta Neumann, Frank Neumann

There has been a growing interest in the evolutionary computation community to compute a diverse set of high-quality solutions for a given optimisation problem. This can provide th…

cs.NE2022★ 14 cited

Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation

Diksha Goel, Max Ward, Aneta Neumann +3

Active Directory (AD) is the default security management system for Windows domain networks. We study a Stackelberg game model between one attacker and one defender on an AD attack…

cs.NE2022★ 6 cited

Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem

Anh Viet Do, Mingyu Guo, Aneta Neumann +1

In this work, we consider the problem of finding a set of tours to a traveling salesperson problem (TSP) instance maximizing diversity, while satisfying a given cost constraint. Th…