Martin Fyvie

According to our database, Martin Fyvie authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems.

Ryan Zhou, Jaume Bacardit, Alexander Edward Ian Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu

IEEE Trans. Evol. Comput., October, 2025

Towards Explainable Metaheuristics: Feature Mining of Search Trajectories through Principal Component Projection.

Martin Fyvie, John A. W. McCall, Lee A. Christie

ACM Trans. Evol. Learn. Optim., June, 2025

Towards explainable metaheuristics: Feature extraction from trajectory mining.

Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee, Manjinder Singh

Expert Syst. J. Knowl. Eng., January, 2025

Evolutionary Optimization of Autonomous Agents for Decreasing Resource Intensity on Geographically Located Interdependent Task Sets.

Martin Fyvie, John A. W. McCall, Alexandru-Ciprian Zavoianu

Proceedings of the Artificial Intelligence XLII, 2025

2024

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems.

Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu

CoRR, 2024

Explaining a Staff Rostering Problem Using Partial Solutions.

Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Martin Fyvie, Russell Ainslie

Proceedings of the Artificial Intelligence XLI, 2024

2023

Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures.

Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie

Proceedings of the Artificial Intelligence XL, 2023

Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis.

Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee

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

2021

Non-Deterministic Solvers and Explainable AI through Trajectory Mining.

Martin Fyvie, John A. W. McCall, Lee A. Christie

Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, 2021

Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms.

Martin Fyvie, John A. W. McCall, Lee A. Christie

Proceedings of the Artificial Intelligence XXXVIII, 2021