2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
George Watkins, Giovanni Montana, Juergen Branke
The graph colouring problem consists of assigning labels, or colours, to the vertices of a graph such that no two adjacent vertices share the same colour. In this work we investiga…
math.OC2023★ 2 cited
Performance Metrics for Multi-Objective Optimisation Algorithms Under Noise
Juergen Branke
This paper discusses the challenge when evaluating multi-objective optimisation algorithms under noise, and argues that decision maker preferences need to be taken into account. It…
cs.LG2022★ 1 cited
Tackling Neural Architecture Search With Quality Diversity Optimization
Lennart Schneider, Florian Pfisterer, Paul Kent +3
Neural architecture search (NAS) has been studied extensively and has grown to become a research field with substantial impact. While classical single-objective NAS searches for th…