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Books and Theses
- 2016
[b1]Lee A. Christie:
The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. Robert Gordon University, Aberdeen, UK, 2016
Journal Articles
- 2024
- [j2]Kate Han
, Lee A. Christie, Alexandru-Ciprian Zavoianu, John A. W. McCall:
Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms. IEEE Trans. Intell. Transp. Syst. 25(9): 10790-10801 (2024) - 2020
- [j1]Gabriela Ochoa, Lee A. Christie, Alexander E. I. Brownlee, Andrew Hoyle:
Multi-objective evolutionary design of antibiotic treatments. Artif. Intell. Medicine 102: 101759 (2020)
Conference and Workshop Papers
- 2024
- [c15]Akinola Ogunsemi, John A. W. McCall, Alexandru-Ciprian Zavoianu, Lee A. Christie:
Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark. GECCO 2024 - [c14]Lee A. Christie, Atakan Sahin, Akinola Ogunsemi, Alexandru-Ciprian Zavoianu, John A. W. McCall:
On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness. PPSN (4) 2024: 367-382 - 2023
- [c13]Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee:
Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. GECCO Companion 2023: 1648-1656 - [c12]Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie:
Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. SGAI Conf. 2023: 275-290 - 2022
- [c11]Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John McCall:
On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems. EUROCAST 2022: 104-111 - 2021
- [c10]Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John McCall:
Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms. GECCO Companion 2021: 315-316 - [c9]Martin Fyvie, John A. W. McCall, Lee A. Christie:
Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms. SGAI Conf. 2021: 89-102 - [c8]Martin Fyvie, John A. W. McCall, Lee A. Christie:
Non-Deterministic Solvers and Explainable AI through Trajectory Mining. SICSA XAI 2021: 75-78 - 2020
- [c7]Lee A. Christie:
Decentralized Combinatorial Optimization. PPSN (1) 2020: 360-372 - 2018
- [c6]Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward:
Investigating benchmark correlations when comparing algorithms with parameter tuning. GECCO (Companion) 2018: 209-210 - 2017
- [c5]Benjamin Lacroix, Lee A. Christie, John A. W. McCall:
Interpolated continuous optimisation problems with tunable landscape features. GECCO (Companion) 2017: 169-170 - 2015
- [c4]Alexander E. I. Brownlee, John A. W. McCall, Lee A. Christie:
Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. CEC 2015: 2066-2073 - [c3]John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee:
Generating Easy and Hard Problems using the Proximate Optimality Principle. GECCO (Companion) 2015: 767-768 - 2014
- [c2]Lee A. Christie, John A. W. McCall, David P. Lonie:
Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings. GECCO 2014: 333-340 - 2013
- [c1]Lee A. Christie, David P. Lonie, John A. W. McCall:
Partial structure learning by subset walsh transform. UKCI 2013: 128-135
Coauthor Index
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