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20102024
most citedPareto Optimization for Subset Selection with Dynamic Cost Constraints

61 citations · 570 across the 108 of their papers we have counts for

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Showing 2021Show all

16 papers · 1 filter

cs.GT2021

Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs

Mingyu Guo, Jialiang Li, Aneta Neumann +2

Active Directory is the default security management system for Windows domain networks. We study the shortest path edge interdiction problem for defending Active Directory style at…

cs.NE2021

Run-of-Mine Stockyard Recovery Scheduling and Optimisation for Multiple Reclaimers

Hirad Assimi, Ben Koch, Chris Garcia +2

Stockpiles are essential in the mining value chain, assisting in maximising value and production. Quality control of taken minerals from the stockpiles is a major concern for stock…

cs.NE2021

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems

Hirad Assimi, Frank Neumann, Markus Wagner +1

Topology optimisation of trusses can be formulated as a combinatorial and multi-modal problem in which locating distinct optimal designs allows practitioners to choose the best des…

cs.NE2021★ 2 cited

On the Use of Quality Diversity Algorithms for The Traveling Thief Problem

Adel Nikfarjam, Aneta Neumann, Frank Neumann

In real-world optimisation, it is common to face several sub-problems interacting and forming the main problem. There is an inter-dependency between the sub-problems, making it imp…

cs.NE2021

Time Complexity Analysis of Evolutionary Algorithms for 2-Hop (1,2)-Minimum Spanning Tree Problem

Feng Shi, Frank Neumann, Jianxin Wang

The Minimum Spanning Tree problem (abbr. MSTP) is a well-known combinatorial optimization problem that has been extensively studied by the researchers in the field of evolutionary…

cs.NE2021★ 5 cited

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables

Frank Neumann, Carsten Witt

Chance constrained optimization problems allow to model problems where constraints involving stochastic components should only be violated with a small probability. Evolutionary al…