3 papers
cs.NE2026
Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra
Hendrik Richter, Frank Neumann
Graphs with diverse structural characteristics play a central role in modelling and optimization tasks. The ability to generate different types of graphs that exhibit shared proper…
cs.NE2024
Information flow and Laplacian dynamics on local optima networks
Hendrik Richter, Sarah L. Thomson
We propose a new way of looking at local optima networks (LONs). LONs represent fitness landscapes; the nodes are local optima, and the edges are search transitions between them. M…
cs.NE2023
Do Random and Chaotic Sequences Really Cause Different PSO Performance? Further Results
{Paul Moritz Nörenberg, Hendrik Richter
Empirical results show that PSO performance may be different if using either chaotic or random sequences to drive the algorithm's search dynamics. We analyze the phenomenon by eval…