Lee A. Christie

According to our database, Lee A. Christie authored at least 18 papers between 2013 and 2024.

Collaborative distances:

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

2024

Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms.

Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John A. W. McCall

IEEE Trans. Intell. Transp. Syst., September, 2024

On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness.

Lee A. Christie, Atakan Sahin, Akinola Ogunsemi, Alexandru-Ciprian Zavoianu, John A. W. McCall

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark.

Akinola Ogunsemi, John A. W. McCall, Alexandru-Ciprian Zavoianu, Lee A. Christie

Proceedings of the Genetic and Evolutionary Computation Conference, 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

2022

On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems.

Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John McCall

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

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

Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms.

Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John McCall

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Multi-objective evolutionary design of antibiotic treatments.

Gabriela Ochoa, Lee A. Christie, Alexander E. I. Brownlee, Andrew Hoyle

Artif. Intell. Medicine, 2020

Decentralized Combinatorial Optimization.

Lee A. Christie

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2018

Investigating benchmark correlations when comparing algorithms with parameter tuning.

Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Interpolated continuous optimisation problems with tunable landscape features.

Benjamin Lacroix, Lee A. Christie, John A. W. McCall

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance.

Lee A. Christie

PhD thesis, 2016

2015

Generating Easy and Hard Problems using the Proximate Optimality Principle.

John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems.

Alexander E. I. Brownlee, John A. W. McCall, Lee A. Christie

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings.

Lee A. Christie, John A. W. McCall, David P. Lonie

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Partial structure learning by subset walsh transform.

Lee A. Christie, David P. Lonie, John A. W. McCall

Proceedings of the 13th UK Workshop on Computational Intelligence, 2013