61 citations · 570 across the 108 of their papers we have counts for
6 papers · 1 filter
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…
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
Frank Neumann, Aneta Neumann, Chao Qian +7
Submodular functions play a key role in the area of optimization as they allow to model many real-world problems that face diminishing returns. Evolutionary algorithms have been sh…
Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems
Aneta Neumann, Jakob Bossek, Frank Neumann
Submodular functions allow to model many real-world optimisation problems. This paper introduces approaches for computing diverse sets of high quality solutions for submodular opti…
Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem
Junhua Wu, Sergey Polyakovskiy, Markus Wagner +1
This research proposes a novel indicator-based hybrid evolutionary approach that combines approximate and exact algorithms. We apply it to a new bi-criteria formulation of the trav…
A Feature-Based Comparison of Evolutionary Computing Techniques for Constrained Continuous Optimisation
Shayan Poursoltan, Frank Neumann
Evolutionary algorithms have been frequently applied to constrained continuous optimisation problems. We carry out feature based comparisons of different types of evolutionary algo…
Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation
Katya Vladislavleva, Tobias Friedrich, Frank Neumann +1
Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If…