John A. W. McCall

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 40

Top Venues

Publications

Daniel Dobos, Tien Thanh Nguyen, Truong Dang, Allan Wilson, Helen Corbett, John A. W. McCall, Phil Stockton
A comparative study of anomaly detection methods for gross error detection problems. Comput. Chem. Eng. 175 (2023)
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)
Joseph Collins, Alexandru-Ciprian Zavoianu, John A. W. McCall
Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement. SGAI Conf. (2023)
Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. PPSN (1) (2022)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR (2022)
Akinola Ogunsemi, John A. W. McCall, Mathias Kern, Benjamin Lacroix, David Corsar, Gilbert Owusu
Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem. GECCO Companion (2022)
Martin Fyvie, John A. W. McCall, Lee A. Christie
Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms. SGAI Conf. (2021)
Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem. GECCO Companion (2021)
Kate Han, Tien Pham, Trung Hieu Vu, Truong Dang, John A. W. McCall, Tien Thanh Nguyen
VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning. ACIIDS (2021)
Daniel Dobos, Tien Thanh Nguyen, John A. W. McCall, Allan Wilson, Phil Stockton, Helen Corbett
Weighted ensemble of gross error detection methods based on particle swarm optimization. GECCO Companion (2021)
Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Alan Wee-Chung Liew
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. CoRR (2021)
Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. CEC (2021)
Arnaud Liefooghe, Sébastien Vérel, Benjamin Lacroix, Alexandru-Ciprian Zavoianu, John A. W. McCall
Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. GECCO (2021)
Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John A. W. McCall, Alan Wee-Chung Liew, Tien Thanh Nguyen
A Homogeneous-Heterogeneous Ensemble of Classifiers. ICONIP (5) (2020)
Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall
WEC: Weighted Ensemble of Text Classifiers. CEC (2020)
Christopher Brown, Vladimir Janjic, Mehdi Goli, John A. W. McCall
Programming Heterogeneous Parallel Machines Using Refactoring and Monte-Carlo Tree Search. Int. J. Parallel Program. 48 (4) (2020)
Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway, Gilbert Owusu
Racing Strategy for the Dynamic-Customer Location-Allocation Problem. CEC (2020)
Akinola Ogunsemi, John A. W. McCall, Mathias Kern, Benjamin Lacroix, David Corsar, Gilbert Owusu
Ensemble-Based Relationship Discovery in Relational Databases. SGAI Conf. (2020)
Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway
Introducing the Dynamic Customer Location-Allocation Problem. CEC (2019)
Benjamin Lacroix, John A. W. McCall
Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. GECCO (Companion) (2019)
Benjamin Lacroix, John A. W. McCall, Jérôme Lonchampt
Iterated Racing Algorithm for Simulation-Optimisation of Maintenance Planning. CEC (2018)
Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway
A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem. SGAI Conf. (2018)
Reginald Ankrah, Olivier Regnier-Coudert, John A. W. McCall, Anthony Conway, Andrew Hardwick
Performance Analysis of GA and PBIL Variants for Real-World Location-Allocation Problems. CEC (2018)
Russell Ainslie, John A. W. McCall, Sid Shakya, Gilbert Owusu
Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model. CEC (2018)
Charles Neau, Olivier Regnier-Coudert, John A. W. McCall
An Analysis of Indirect Optimisation Strategies for Scheduling. CEC (2018)
Benjamin Lacroix, Lee A. Christie, John A. W. McCall
Interpolated continuous optimisation problems with tunable landscape features. GECCO (Companion) (2017)
Russell Ainslie, John A. W. McCall, Sid Shakya, Gilbert Owusu
Predicting Service Levels Using Neural Networks. SGAI Conf. (2017)
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert, Liam Bowie
A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem. CEC (2017)
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem. CEC (2017)
Peter A. N. Bosman, John A. W. McCall
GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome. GECCO (Companion) (2016)
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm. PPSN (2016)
Russell Ainslie, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu
Predictive planning with neural networks. IJCNN (2016)
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
BPGA-EDA for the multi-mode resource constrained project scheduling problem. CEC (2016)
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)
Russell Ainslie, Siddhartha Shakya, John A. W. McCall, Gilbert Owusu
Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces. SGAI Conf. (2015)
Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José Miguel Puerta
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. GECCO (2015)
Prapa Rattadilok, John A. W. McCall, Trevor Burbridge, Andrea Soppera, Philip Eardley
A data fusion framework for large-scale measurement platforms. IEEE BigData (2015)
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling Problem. GECCO (Companion) (2015)
Claire E. Gerrard, John A. W. McCall, Christopher MacLeod, George M. Coghill
Applications and design of cooperative multi-agent ARN-based systems. Soft Comput. 19 (6) (2015)
John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee
Generating Easy and Hard Problems using the Proximate Optimality Principle. GECCO (Companion) (2015)
Olivier Regnier-Coudert, John A. W. McCall
Factoradic Representation for Permutation Optimisation. PPSN (2014)
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)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. Evol. Comput. 22 (1) (2014)
Claire E. Gerrard, John A. W. McCall, George Macleod Coghill, Christopher MacLeod
Exploring aspects of cell intelligence with artificial reaction networks. Soft Comput. 18 (10) (2014)
Claire E. Gerrard, John A. W. McCall, George M. Coghill, Christopher MacLeod
Artificial Reaction Network Agents. ECAL (2013)
Claire Gerrard, John A. W. McCall, Christopher MacLeod, George Macleod Coghill
Artificial chemistry approach to exploring search spaces using Artificial Reaction Network agents. IEEE Congress on Evolutionary Computation (2013)
Mehdi Goli, John A. W. McCall, Christopher Brown, Vladimir Janjic, Kevin Hammond
Mapping parallel programs to heterogeneous CPU/GPU architectures using a Monte Carlo Tree Search. IEEE Congress on Evolutionary Computation (2013)
Olivier Regnier-Coudert, John A. W. McCall, Mayowa Ayodele
Geometric-based sampling for permutation optimization. GECCO (2013)
Lee A. Christie, David P. Lonie, John A. W. McCall
Partial structure learning by subset walsh transform. UKCI (2013)
Claire Gerrard, John A. W. McCall, Christopher MacLeod, George Macleod Coghill
Combining biochemical network motifs within an ARN-agent control system. UKCI (2013)
Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang
Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. 17 (6) (2013)
Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter
An application of a GA with Markov network surrogate to feature selection. Int. J. Syst. Sci. 44 (11) (2013)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL (2013)
Olivier Regnier-Coudert, John A. W. McCall, Robert Lothian, Thomas Lam, Sam McClinton, James N'Dow
Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers. Artif. Intell. Medicine 55 (1) (2012)
Claire Gerrard, John A. W. McCall, George Macleod Coghill, Christopher MacLeod
Temporal Patterns in Artificial Reaction Networks. ICANN (1) (2012)
Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan
Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO (2012)
Claire Gerrard, John A. W. McCall, George Macleod Coghill, Christopher MacLeod
Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks. ICONIP (1) (2012)
Yanghui Wu, John A. W. McCall, David Corne, Olivier Regnier-Coudert
Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems. IEEE Congress on Evolutionary Computation (2012)
Olivier Regnier-Coudert, John A. W. McCall
Competing Mutating Agents for Bayesian Network Structure Learning. PPSN (1) (2012)
Olivier Regnier-Coudert, John A. W. McCall
An Island Model Genetic Algorithm for Bayesian network structure learning. IEEE Congress on Evolutionary Computation (2012)
Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation (2012)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP (2012)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM (2011)
Yanghui Wu, John A. W. McCall, David Corne
Fitness landscape analysis of Bayesian network structure learning. IEEE Congress on Evolutionary Computation (2011)
Olivier Regnier-Coudert, John A. W. McCall
Privacy-preserving approach to bayesian network structure learning from distributed data. GECCO (Companion) (2011)
Thierry Mamer, Siddhartha Shakya, John A. W. McCall, Gilbert Owusu
Intelligent Tuning of a Dynamic Business Simulation Environment. SGAI Conf. (2011)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) (2011)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL (2011)
Robert Barbour, David W. Corne, John A. W. McCall
Accelerated optimisation of chemotherapy dose schedules using fitness inheritance. IEEE Congress on Evolutionary Computation (2010)
Jean-Claude Golovine, John A. W. McCall, Patrik O'Brian Holt
Evolving interface designs to minimize user task times as simulated in a cognitive architecture. IEEE Congress on Evolutionary Computation (2010)
Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie
Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation (2010)
Yanghui Wu, John A. W. McCall, David W. Corne
Two novel Ant Colony Optimization approaches for Bayesian network structure learning. IEEE Congress on Evolutionary Computation (2010)
François A. Fournier, John A. W. McCall, Andrei Petrovski, Peter J. Barclay
Evolved Bayesian Network models of rig operations in the gulf of Mexico. IEEE Congress on Evolutionary Computation (2010)
Yanghui Wu, John A. W. McCall, David Corne
Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions. PPSN (1) (2010)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) (2010)
Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation (2009)
Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu
A fully multivariate DEUM algorithm. IEEE Congress on Evolutionary Computation (2009)
Paul Michael Godley, Julie Cowie, David E. Cairns, John A. W. McCall, C. Howie
Optimisation of cancer chemotherapy schedules using directed intervention crossover approaches. IEEE Congress on Evolutionary Computation (2008)
Thierry Mamer, Christopher H. Bryant, John A. W. McCall
L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. ILP (2008)
Paul Michael Godley, David E. Cairns, Julie Cowie, John A. W. McCall
Fitness directed intervention crossover approaches applied to bio-scheduling problems. CIBCB (2008)
Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown
Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation (2008)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO (2008)
Ratiba Kabli, John A. W. McCall, Frank Herrmann, Eng Ong
Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management. GECCO (2008)
Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael Godley, David E. Cairns, Julie Cowie
Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. GECCO (2008)
Paul Michael Godley, David E. Cairns, Julie Cowie, Kevin Swingler, John A. W. McCall
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. GECCO (2008)
Yanghui Wu, John A. W. McCall, Paul Michael Godley, Alexander E. I. Brownlee, David E. Cairns, Julie Cowie
Bio-control in mushroom farming using a Markov network EDA. IEEE Congress on Evolutionary Computation (2008)
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
Superimposed Information Architecture for Digital Libraries. ECDL (2008)
Alexander E. I. Brownlee, John A. W. McCall, Deryck Forsyth Brown
Solving the MAXSAT problem using a multivariate EDA based on Markov networks. GECCO (Companion) (2007)
Siddhartha Shakya, John A. W. McCall
Optimization by estimation of distribution with DEUM framework based on Markov random fields. Int. J. Autom. Comput. 4 (3) (2007)
Ratiba Kabli, Frank Herrmann, John A. W. McCall
A chain-model genetic algorithm for Bayesian network structure learning. GECCO (2007)
Andrei Petrovski, Siddhartha Shakya, John A. W. McCall
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. GECCO (2006)
Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown
Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields. IEEE Congress on Evolutionary Computation (2006)
Andrei Petrovski, John A. W. McCall
Smart problem solving environment for medical decision support. GECCO Workshops (2005)
Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis. GECCO (2005)
Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall
Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation (2005)
Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm. Congress on Evolutionary Computation (2005)
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. PPSN (2004)
Hayet Farida Merouani, John A. W. McCall, Ian McKenzie, Fiona J. Gilbert
Classification of GRF texture in mammograms through discriminant analysis. ISSPA (1) (2003)
Deryck Forsyth Brown, A. Beatriz Garmendia-Doval, John A. W. McCall
Markov Random Field Modelling of Royal Road Genetic Algorithms. Artificial Evolution (2001)
Andrei Petrovski, John A. W. McCall
Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. EMO (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

John A. W. McCall