John A. W. McCall

125 papers A 17B 35C 4Misc 1Journal 20Unranked 46

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 25092). Dagstuhl Reports Josu Ceberio Uribe, Benjamin Doerr, John A. W. McCall, Carsten Witt, Marcus Schmidbauer
2025	—	`conf`	Evaluating a Novel Explainability Method for Metaheuristics via a User Study. GECCO Companion Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
2025	J	`jnl`	Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems. IEEE Trans. Evol. Comput. 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
2025	—	`conf`	Evolutionary Optimization of Autonomous Agents for Decreasing Resource Intensity on Geographically Located Interdependent Task Sets. AI (2) Martin Fyvie, John A. W. McCall, Alexandru-Ciprian Zavoianu
2025	—	`conf`	Exam Timetabling Problem Using Cooperative Hyper-Heuristics: A Case Study of the ITC2007 Dataset. AI (2) Kate Han, Evelyn Oginni, John A. W. McCall, Paul McMullan, Yun Chen
2025	A	`conf`	Interpretable Decision Trees to Predict Solution Fitness. GECCO Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, Russell Ainslie, John A. W. McCall
2025	J	`jnl`	Towards Explainable Metaheuristics: Feature Mining of Search Trajectories through Principal Component Projection. ACM Trans. Evol. Learn. Optim. Martin Fyvie, John A. W. McCall, Lee A. Christie
2025	J	`jnl`	Towards explainable metaheuristics: Feature extraction from trajectory mining. Expert Syst. J. Knowl. Eng. Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee, Manjinder Singh
2024	A	`conf`	Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark. GECCO Akinola Ogunsemi, John A. W. McCall, Alexandru-Ciprian Zavoianu, Lee A. Christie
2024	J	`jnl`	Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR 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
2024	—	`conf`	Explaining a Staff Rostering Problem Using Partial Solutions. SGAI Conf. (2) Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Martin Fyvie, Russell Ainslie
2024	J	`jnl`	Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms. IEEE Trans. Intell. Transp. Syst. Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John A. W. McCall
2024	J	`jnl`	Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker
2024	—	`conf`	Mining Potentially Explanatory Patterns via Partial Solutions. GECCO Companion Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
2024	J	`jnl`	Mining Potentially Explanatory Patterns via Partial Solutions. CoRR GianCarlo Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
2024	—	`conf`	On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness. PPSN (4) Lee A. Christie, Atakan Sahin, Akinola Ogunsemi, Alexandru-Ciprian Zavoianu, John A. W. McCall
2024	—	`conf`	Optimising Public Transport Through the Integration of Micro and Macro-level Simulations. EUROCAST (1) Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John A. W. McCall
2024	J	`jnl`	Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. Cogn. Comput. Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Eyad Elyan, Carlos Francisco Moreno-García
2024	J	`jnl`	Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems. Knowl. Based Syst. Truong Dang, Tien Thanh Nguyen, Alan Wee-Chung Liew, Eyad Elyan, John A. W. McCall
2023	J	`jnl`	A comparative study of anomaly detection methods for gross error detection problems. Comput. Chem. Eng. Daniel Dobos, Tien Thanh Nguyen, Truong Dang, Allan Wilson, Helen Corbett, John A. W. McCall, Phil Stockton
2023	—	`conf`	Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement. SGAI Conf. Joseph Collins, Alexandru-Ciprian Zavoianu, John A. W. McCall
2023	—	`conf`	Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. SGAI Conf. Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie
2022	J	`jnl`	An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2022	—	`conf`	Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. PPSN (1) Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
2022	—	`conf`	Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem. GECCO Companion Akinola Ogunsemi, John A. W. McCall, Mathias Kern, Benjamin Lacroix, David Corsar, Gilbert Owusu
2021	J	`jnl`	Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. CoRR Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Alan Wee-Chung Liew
2021	A	`conf`	Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. GECCO Arnaud Liefooghe, Sébastien Vérel, Benjamin Lacroix, Alexandru-Ciprian Zavoianu, John A. W. McCall
2021	—	`conf`	Non-Deterministic Solvers and Explainable AI through Trajectory Mining. SICSA XAI Martin Fyvie, John A. W. McCall, Lee A. Christie
2021	—	`conf`	Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms. SGAI Conf. Martin Fyvie, John A. W. McCall, Lee A. Christie
2021	—	`conf`	Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem. GECCO Companion Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
2021	B	`conf`	VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning. ACIIDS Kate Han, Tien Pham, Trung Hieu Vu, Truong Dang, John A. W. McCall, Tien Thanh Nguyen
2021	B	`conf`	Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. CEC Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall
2021	—	`conf`	Weighted ensemble of gross error detection methods based on particle swarm optimization. GECCO Companion Daniel Dobos, Tien Thanh Nguyen, John A. W. McCall, Allan Wilson, Phil Stockton, Helen Corbett
2020	—	`conf`	A Homogeneous-Heterogeneous Ensemble of Classifiers. ICONIP (5) Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John A. W. McCall, Alan Wee-Chung Liew, Tien Thanh Nguyen
2020	—	`conf`	Ensemble-Based Relationship Discovery in Relational Databases. SGAI Conf. Akinola Ogunsemi, John A. W. McCall, Mathias Kern, Benjamin Lacroix, David Corsar, Gilbert Owusu
2020	J	`jnl`	Programming Heterogeneous Parallel Machines Using Refactoring and Monte-Carlo Tree Search. Int. J. Parallel Program. Christopher Brown, Vladimir Janjic, Mehdi Goli, John A. W. McCall
2020	B	`conf`	Racing Strategy for the Dynamic-Customer Location-Allocation Problem. CEC Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway, Gilbert Owusu
2020	B	`conf`	WEC: Weighted Ensemble of Text Classifiers. CEC Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall
2019	B	`conf`	Introducing the Dynamic Customer Location-Allocation Problem. CEC Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway
2019	—	`conf`	Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. GECCO (Companion) Benjamin Lacroix, John A. W. McCall
2018	—	`conf`	A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem. SGAI Conf. Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway
2018	B	`conf`	An Analysis of Indirect Optimisation Strategies for Scheduling. CEC Charles Neau, Olivier Regnier-Coudert, John A. W. McCall
2018	B	`conf`	Iterated Racing Algorithm for Simulation-Optimisation of Maintenance Planning. CEC Benjamin Lacroix, John A. W. McCall, Jérôme Lonchampt
2018	B	`conf`	Performance Analysis of GA and PBIL Variants for Real-World Location-Allocation Problems. CEC Reginald Ankrah, Olivier Regnier-Coudert, John A. W. McCall, Anthony Conway, Andrew Hardwick
2018	B	`conf`	Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model. CEC Russell Ainslie, John A. W. McCall, Sid Shakya, Gilbert Owusu
2017	B	`conf`	A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem. CEC Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert, Liam Bowie
2017	B	`conf`	Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem. CEC Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2017	—	`conf`	Interpolated continuous optimisation problems with tunable landscape features. GECCO (Companion) Benjamin Lacroix, Lee A. Christie, John A. W. McCall
2017	—	`conf`	Predicting Service Levels Using Neural Networks. SGAI Conf. Russell Ainslie, John A. W. McCall, Sid Shakya, Gilbert Owusu
2016	B	`conf`	BPGA-EDA for the multi-mode resource constrained project scheduling problem. CEC Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2016	—	`conf`	GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome. GECCO (Companion) Peter A. N. Bosman, John A. W. McCall
2016	B	`conf`	Predictive planning with neural networks. IJCNN Russell Ainslie, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu
2016	A	`conf`	RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm. PPSN Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2015	—	`conf`	A data fusion framework for large-scale measurement platforms. IEEE BigData Prapa Rattadilok, John A. W. McCall, Trevor Burbridge, Andrea Soppera, Philip Eardley
2015	A	`conf`	Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. GECCO Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José M. Puerta
2015	J	`jnl`	Applications and design of cooperative multi-agent ARN-based systems. Soft Comput. Claire E. Gerrard, John A. W. McCall, Christopher MacLeod, George M. Coghill
2015	—	`conf`	Generating Easy and Hard Problems using the Proximate Optimality Principle. GECCO (Companion) John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee
2015	—	`conf`	Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces. SGAI Conf. Russell Ainslie, Siddhartha Shakya, John A. W. McCall, Gilbert Owusu
2015	—	`conf`	Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling Problem. GECCO (Companion) Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
2015	B	`conf`	Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. CEC Alexander E. I. Brownlee, John A. W. McCall, Lee A. Christie
2014	J	`jnl`	Exploring aspects of cell intelligence with artificial reaction networks. Soft Comput. Claire E. Gerrard, John A. W. McCall, George Macleod Coghill, Christopher MacLeod
2014	A	`conf`	Factoradic Representation for Permutation Optimisation. PPSN Olivier Regnier-Coudert, John A. W. McCall
2014	A	`conf`	Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings. GECCO Lee A. Christie, John A. W. McCall, David P. Lonie
2013	J	`jnl`	An application of a GA with Markov network surrogate to feature selection. Int. J. Syst. Sci. Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter
2013	—	`conf`	Artificial Reaction Network Agents. ECAL Claire E. Gerrard, John A. W. McCall, George M. Coghill, Christopher MacLeod
2013	B	`conf`	Artificial chemistry approach to exploring search spaces using Artificial Reaction Network agents. IEEE Congress on Evolutionary Computation Claire Gerrard, John A. W. McCall, Christopher MacLeod, George Macleod Coghill
2013	—	`conf`	Combining biochemical network motifs within an ARN-agent control system. UKCI Claire Gerrard, John A. W. McCall, Christopher MacLeod, George Macleod Coghill
2013	J	`jnl`	Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang
2013	A	`conf`	Geometric-based sampling for permutation optimization. GECCO Olivier Regnier-Coudert, John A. W. McCall, Mayowa Ayodele
2013	B	`conf`	Mapping parallel programs to heterogeneous CPU/GPU architectures using a Monte Carlo Tree Search. IEEE Congress on Evolutionary Computation Mehdi Goli, John A. W. McCall, Christopher Brown, Vladimir Janjic, Kevin Hammond
2013	C	`conf`	Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2013	—	`conf`	Partial structure learning by subset walsh transform. UKCI Lee A. Christie, David P. Lonie, John A. W. McCall
2013	—	`book`	Transforming Field and Service Operations, Methodologies for Successful Technology-Driven Business Transformation Gilbert Owusu, Paul O'Brien, John A. W. McCall, Neil F. Doherty
2013	—	`ch.`	Understanding Team Dynamics with Agent-Based Simulation. Transforming Field and Service Operations Thierry Mamer, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu, Olivier Regnier-Coudert
2012	—	`conf`	Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks. ICONIP (1) Claire Gerrard, John A. W. McCall, George Macleod Coghill, Christopher MacLeod
2012	B	`conf`	An Island Model Genetic Algorithm for Bayesian network structure learning. IEEE Congress on Evolutionary Computation Olivier Regnier-Coudert, John A. W. McCall
2012	—	`conf`	Competing Mutating Agents for Bayesian Network Structure Learning. PPSN (1) Olivier Regnier-Coudert, John A. W. McCall
2012	B	`conf`	Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
2012	B	`conf`	D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2012	A	`conf`	Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan
2012	B	`conf`	Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems. IEEE Congress on Evolutionary Computation Yanghui Wu, John A. W. McCall, David Corne, Olivier Regnier-Coudert
2012	J	`jnl`	Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers. Artif. Intell. Medicine Olivier Regnier-Coudert, John A. W. McCall, Robert Lothian, Thomas Lam, Sam McClinton, James N'Dow
2012	—	`conf`	Temporal Patterns in Artificial Reaction Networks. ICANN (1) Claire Gerrard, John A. W. McCall, George Macleod Coghill, Christopher MacLeod
2011	—	`conf`	Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	C	`conf`	Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	B	`conf`	Fitness landscape analysis of Bayesian network structure learning. IEEE Congress on Evolutionary Computation Yanghui Wu, John A. W. McCall, David Corne
2011	—	`conf`	Intelligent Tuning of a Dynamic Business Simulation Environment. SGAI Conf. Thierry Mamer, Siddhartha Shakya, John A. W. McCall, Gilbert Owusu
2011	—	`conf`	Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	—	`conf`	Privacy-preserving approach to bayesian network structure learning from distributed data. GECCO (Companion) Olivier Regnier-Coudert, John A. W. McCall
2010	—	`conf`	A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2010	B	`conf`	Accelerated optimisation of chemotherapy dose schedules using fitness inheritance. IEEE Congress on Evolutionary Computation Robert Barbour, David W. Corne, John A. W. McCall
2010	—	`conf`	Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions. PPSN (1) Yanghui Wu, John A. W. McCall, David Corne
2010	B	`conf`	Evolved Bayesian Network models of rig operations in the gulf of Mexico. IEEE Congress on Evolutionary Computation François A. Fournier, John A. W. McCall, Andrei Petrovski, Peter J. Barclay
2010	B	`conf`	Evolving interface designs to minimize user task times as simulated in a cognitive architecture. IEEE Congress on Evolutionary Computation Jean-Claude Golovine, John A. W. McCall, Patrik O'Brian Holt
2010	B	`conf`	Two novel Ant Colony Optimization approaches for Bayesian network structure learning. IEEE Congress on Evolutionary Computation Yanghui Wu, John A. W. McCall, David W. Corne
2010	B	`conf`	Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie
2009	B	`conf`	A fully multivariate DEUM algorithm. IEEE Congress on Evolutionary Computation Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu
2009	B	`conf`	Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang
2008	A	`conf`	An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2008	B	`conf`	Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown
2008	B	`conf`	Bio-control in mushroom farming using a Markov network EDA. IEEE Congress on Evolutionary Computation Yanghui Wu, John A. W. McCall, Paul Michael Godley, Alexander E. I. Brownlee, David E. Cairns, Julie Cowie
2008	A	`conf`	Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management. GECCO Ratiba Kabli, John A. W. McCall, Frank Herrmann, Eng Ong
2008	C	`conf`	Fitness directed intervention crossover approaches applied to bio-scheduling problems. CIBCB Paul Michael Godley, David E. Cairns, Julie Cowie, John A. W. McCall
2008	B	`conf`	L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. ILP Thierry Mamer, Christopher H. Bryant, John A. W. McCall
2008	A	`conf`	Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. GECCO Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael Godley, David E. Cairns, Julie Cowie
2008	B	`conf`	Optimisation of cancer chemotherapy schedules using directed intervention crossover approaches. IEEE Congress on Evolutionary Computation Paul Michael Godley, Julie Cowie, David E. Cairns, John A. W. McCall, C. Howie
2008	—	`conf`	Superimposed Information Architecture for Digital Libraries. ECDL David W. Archer, Lois M. L. Delcambre, Fabio Corubolo, Lillian N. Cassel, Susan Price, Uma Murthy, David Maier, Edward A. Fox, Sudarshan Murthy, John A. W. McCall, Kiran Kuchibhotla, Rahul Suryavanshi
2008	A	`conf`	The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. GECCO Paul Michael Godley, David E. Cairns, Julie Cowie, Kevin Swingler, John A. W. McCall
2007	A	`conf`	A chain-model genetic algorithm for Bayesian network structure learning. GECCO Ratiba Kabli, Frank Herrmann, John A. W. McCall
2007	J	`jnl`	Optimization by estimation of distribution with DEUM framework based on Markov random fields. Int. J. Autom. Comput. Siddhartha Shakya, John A. W. McCall
2007	—	`conf`	Solving the MAXSAT problem using a multivariate EDA based on Markov networks. GECCO (Companion) Alexander E. I. Brownlee, John A. W. McCall, Deryck Forsyth Brown
2006	A	`conf`	Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. GECCO Andrei Petrovski, Siddhartha Shakya, John A. W. McCall
2006	B	`conf`	Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields. IEEE Congress on Evolutionary Computation Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown
2005	B	`conf`	Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm. Congress on Evolutionary Computation Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown
2005	—	`conf`	Smart problem solving environment for medical decision support. GECCO Workshops Andrei Petrovski, John A. W. McCall
2005	B	`conf`	Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall
2005	A	`conf`	Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis. GECCO Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown
2004	A	`conf`	Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. PPSN Andrei Petrovski, Bhavani Sudha, John A. W. McCall
2003	—	`conf`	Classification of GRF texture in mammograms through discriminant analysis. ISSPA (1) Hayet Farida Merouani, John A. W. McCall, Ian McKenzie, Fiona J. Gilbert
2001	—	`conf`	Markov Random Field Modelling of Royal Road Genetic Algorithms. Artificial Evolution Deryck Forsyth Brown, A. Beatriz Garmendia-Doval, John A. W. McCall
2001	C	`conf`	Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. EMO Andrei Petrovski, John A. W. McCall
2000	—	`conf`	A functional framework for the implementation of genetic algorithms: Comparing Haskell and Standard ML. Scottish Functional Programming Workshop Deryck Forsyth Brown, A. Beatriz Garmendia-Doval, John A. W. McCall
2000	—	`conf`	Component Based Visual Software Engineering. ICEIS Stewart Thomson, John A. W. McCall, David Crossen
2000	Misc	`conf`	The Prediction of Permeability in Oil-Bearing Strata using Genetic Algorithms. Artificial Intelligence and Soft Computing Deryck Forsyth Brown, S. J. Cuddy, A. Beatriz Garmendia-Doval, John A. W. McCall
1999	—	`conf`	Towards a Visual Environment for Enterprise Systems. ICEIS Stewart Thomson, John A. W. McCall