1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.NE2025★ 1 cited
Subfunction Structure Matters: A New Perspective on Local Optima Networks
S. L. Thomson, M. W. Przewozniczek
Local optima networks (LONs) capture fitness landscape information. They are typically constructed in a black-box manner; information about the problem structure is not utilised. T…
cs.AI2024
Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances
Sébastien Verel, Sarah Thomson, Omar Rifki
The Quadratic Assignment Problem (QAP) is one of the major domains in the field of evolutionary computation, and more widely in combinatorial optimization. This paper studies the p…
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…