Sarah L. Thomson

Omar Rifki

CoRR, 2024

Understanding fitness landscapes in morpho-evolution via local optima networks.

[BibT_eX]

[DOI]

CoRR, 2024

Information flow and Laplacian dynamics on local optima networks.

[BibT_eX]

[DOI]

Hendrik Richter

CoRR, 2024

2023

Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem.

[BibT_eX]

[DOI]

Kristian Verduin

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

The Opaque Nature of Intelligence and the Pursuit of Explainable AI.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Randomness in Local Optima Network Sampling.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Channel Configuration for Neural Architecture: Insights from the Search Space.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

From Fitness Landscapes to Explainable AI and Back.

[BibT_eX]

[DOI]

Jason Adair

Alexander E. I. Brownlee

Alexander Edward Ian Brownlee

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality.

[BibT_eX]

[DOI]

Kevin Carrie Graham

Sarah Louise Thomson

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Frequency Fitness Assignment on JSSP: A Critical Review.

[BibT_eX]

[DOI]

Ege de Bruin

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

The fractal geometry of fitness landscapes at the local optima level.

[BibT_eX]

[DOI]

Nat. Comput., 2022

Fractal Dimension and Perturbation Strength: A Local Optima Networks View.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Universally Hard Hamiltonian Cycle Problem Instances.

[BibT_eX]

[DOI]

Joeri Sleegers

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

On funnel depths and acceptance criteria in stochastic local search.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2020

Inferring Future Landscapes: Sampling the Local Optima Level.

[BibT_eX]

[DOI]

Evol. Comput., 2020

The Local Optima Level in Chemotherapy Schedule Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

2019

Clarifying the Difference in Local Optima Network Sampling Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

2018

Multifractality and dimensional determinism in local optima networks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Fractal Nature of Local Optima Networks.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

2017

The effect of landscape funnels in QAPLIB instances.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Comparing communities of optima with funnels in combinatorial fitness landscapes.

[BibT_eX]

[DOI]

Fabio Daolio