Towards a Visual Environment for Enterprise Systems. - Stewart Thomson; John A. W. McCall (ICEIS, 1999)

The Prediction of Permeability in Oil-Bearing Strata using Genetic Algorithms. - Deryck Forsyth Brown; S. J. Cuddy; A. Beatriz Garmendia-Doval; John A. W. McCall (Artificial Intelligence and Soft Computing, 2000)

Component Based Visual Software Engineering. - Stewart Thomson; John A. W. McCall; David Crossen (ICEIS, 2000)

A functional framework for the implementation of genetic algorithms: Comparing Haskell and Standard ML. - Deryck Forsyth Brown; A. Beatriz Garmendia-Doval; John A. W. McCall (Scottish Functional Programming Workshop, 2000)

Markov Random Field Modelling of Royal Road Genetic Algorithms. - Deryck Forsyth Brown; A. Beatriz Garmendia-Doval; John A. W. McCall (Artificial Evolution, 2001)

Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. - Andrei Petrovski 001; John A. W. McCall (EMO, 2001)

Classification of GRF texture in mammograms through discriminant analysis. - Hayet Farida Merouani; John A. W. McCall; Ian McKenzie; Fiona J. Gilbert (ISSPA (1), 2003)

Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. - Andrei Petrovski 001; Bhavani Sudha; John A. W. McCall (PPSN, 2004)

Statistical optimisation and tuning of GA factors. - Andrei Petrovski 001; Alexander E. I. Brownlee; John A. W. McCall (Congress on Evolutionary Computation, 2005)

Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm. - Siddhartha Shakya; John A. W. McCall; Deryck Forsyth Brown (Congress on Evolutionary Computation, 2005)

Smart problem solving environment for medical decision support. - Andrei Petrovski 001; John A. W. McCall (GECCO Workshops, 2005)

Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis. - Siddhartha Shakya; John A. W. McCall; Deryck Forsyth Brown (GECCO, 2005)

Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields. - Siddhartha Shakya; John A. W. McCall; Deryck Forsyth Brown (IEEE Congress on Evolutionary Computation, 2006)

Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. - Andrei Petrovski 001; Siddhartha Shakya; John A. W. McCall (GECCO, 2006)

Solving the MAXSAT problem using a multivariate EDA based on Markov networks. - Alexander E. I. Brownlee; John A. W. McCall; Deryck Forsyth Brown (GECCO (Companion), 2007)

A chain-model genetic algorithm for Bayesian network structure learning. - Ratiba Kabli; Frank Herrmann; John A. W. McCall (GECCO, 2007)

Optimization by estimation of distribution with DEUM framework based on Markov random fields. - Siddhartha Shakya; John A. W. McCall (Int. J. Autom. Comput., 2007)

Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. - Alexander E. I. Brownlee; John A. W. McCall; Qingfu Zhang 001; Deryck Forsyth Brown (IEEE Congress on Evolutionary Computation, 2008)

Optimisation of cancer chemotherapy schedules using directed intervention crossover approaches. - Paul Michael Godley; Julie Cowie; David E. Cairns; John A. W. McCall; C. Howie (IEEE Congress on Evolutionary Computation, 2008)

Bio-control in mushroom farming using a Markov network EDA. - Yanghui Wu; John A. W. McCall; Paul Michael Godley; Alexander E. I. Brownlee; David E. Cairns; Julie Cowie (IEEE Congress on Evolutionary Computation, 2008)

Fitness directed intervention crossover approaches applied to bio-scheduling problems. - Paul Michael Godley; David E. Cairns; Julie Cowie; John A. W. McCall (CIBCB, 2008)

Superimposed Information Architecture for Digital Libraries. - David W. Archer; Lois M. L. Delcambre; Fabio Corubolo; Lillian N. Cassel; Susan Price; Uma Murthy; David Maier 001; Edward A. Fox; Sudarshan Murthy; John A. W. McCall; Kiran Kuchibhotla; Rahul Suryavanshi (ECDL, 2008)

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. - Alexander E. I. Brownlee; Martin Pelikan; John A. W. McCall; Andrei Petrovski 001 (GECCO, 2008)

Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. - Alexander E. I. Brownlee; Yanghui Wu; John A. W. McCall; Paul Michael Godley; David E. Cairns; Julie Cowie (GECCO, 2008)

The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. - Paul Michael Godley; David E. Cairns; Julie Cowie; Kevin Swingler; John A. W. McCall (GECCO, 2008)

Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management. - Ratiba Kabli; John A. W. McCall; Frank Herrmann; Eng Ong (GECCO, 2008)

L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. - Thierry Mamer; Christopher H. Bryant; John A. W. McCall (ILP, 2008)

Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. - Alexander E. I. Brownlee; John A. W. McCall; Siddhartha Shakya; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2009)

A fully multivariate DEUM algorithm. - Siddhartha Shakya; Alexander E. I. Brownlee; John A. W. McCall; François A. Fournier; Gilbert Owusu (IEEE Congress on Evolutionary Computation, 2009)

Accelerated optimisation of chemotherapy dose schedules using fitness inheritance. - Robert Barbour; David W. Corne; John A. W. McCall (IEEE Congress on Evolutionary Computation, 2010)

Using a Markov network as a surrogate fitness function in a genetic algorithm. - Alexander E. I. Brownlee; Olivier Regnier-Coudert; John A. W. McCall; Stewart Massie (IEEE Congress on Evolutionary Computation, 2010)

Evolved Bayesian Network models of rig operations in the gulf of Mexico. - François A. Fournier; John A. W. McCall; Andrei Petrovski 001; Peter J. Barclay (IEEE Congress on Evolutionary Computation, 2010)

Evolving interface designs to minimize user task times as simulated in a cognitive architecture. - Jean-Claude Golovine; John A. W. McCall; Patrik O'Brian Holt (IEEE Congress on Evolutionary Computation, 2010)

Two novel Ant Colony Optimization approaches for Bayesian network structure learning. - Yanghui Wu; John A. W. McCall; David W. Corne (IEEE Congress on Evolutionary Computation, 2010)

A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (PPSN (2), 2010)

Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions. - Yanghui Wu; John A. W. McCall; David Corne (PPSN (1), 2010)

Fitness landscape analysis of Bayesian network structure learning. - Yanghui Wu; John A. W. McCall; David Corne (IEEE Congress on Evolutionary Computation, 2011)

Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (MCDM, 2011)

Clustering based leaders' selection in multi-objective evolutionary algorithms. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (GECCO (Companion), 2011)

Privacy-preserving approach to bayesian network structure learning from distributed data. - Olivier Regnier-Coudert; John A. W. McCall (GECCO (Companion), 2011)

Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (IDEAL, 2011)

Intelligent Tuning of a Dynamic Business Simulation Environment. - Thierry Mamer; Siddhartha Shakya; John A. W. McCall; Gilbert Owusu (SGAI Conf., 2011)

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. - Noura Al Moubayed; Bashar Awwad Shiekh Hasan; John Q. Gan; Andrei Petrovski 001; John A. W. McCall (IEEE Congress on Evolutionary Computation, 2012)

An Island Model Genetic Algorithm for Bayesian network structure learning. - Olivier Regnier-Coudert; John A. W. McCall (IEEE Congress on Evolutionary Computation, 2012)

Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems. - Yanghui Wu; John A. W. McCall; David Corne; Olivier Regnier-Coudert (IEEE Congress on Evolutionary Computation, 2012)

D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (EvoCOP, 2012)

Influence of selection on structure learning in markov network EDAs: an empirical study. - Alexander E. I. Brownlee; John A. W. McCall; Martin Pelikan (GECCO, 2012)

Temporal Patterns in Artificial Reaction Networks. - Claire Gerrard; John A. W. McCall; George Macleod Coghill; Christopher MacLeod (ICANN (1), 2012)

Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks. - Claire Gerrard; John A. W. McCall; George Macleod Coghill; Christopher MacLeod (ICONIP (1), 2012)

Competing Mutating Agents for Bayesian Network Structure Learning. - Olivier Regnier-Coudert; John A. W. McCall (PPSN (1), 2012)

Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers. - Olivier Regnier-Coudert; John A. W. McCall; Robert Lothian; Thomas Lam; Sam McClinton; James N'Dow (Artif. Intell. Medicine, 2012)

Understanding Team Dynamics with Agent-Based Simulation. - Thierry Mamer; John A. W. McCall; Siddhartha Shakya; Gilbert Owusu; Olivier Regnier-Coudert (Transforming Field and Service Operations, 2013)

Artificial chemistry approach to exploring search spaces using Artificial Reaction Network agents. - Claire Gerrard; John A. W. McCall; Christopher MacLeod; George Macleod Coghill (IEEE Congress on Evolutionary Computation, 2013)

Mapping parallel programs to heterogeneous CPU/GPU architectures using a Monte Carlo Tree Search. - Mehdi Goli 001; John A. W. McCall; Christopher Brown 002; Vladimir Janjic; Kevin Hammond (IEEE Congress on Evolutionary Computation, 2013)

Artificial Reaction Network Agents. - Claire E. Gerrard; John A. W. McCall; George M. Coghill; Christopher MacLeod (ECAL, 2013)

Geometric-based sampling for permutation optimization. - Olivier Regnier-Coudert; John A. W. McCall; Mayowa Ayodele (GECCO, 2013)

Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (IDEAL, 2013)

Partial structure learning by subset walsh transform. - Lee A. Christie; David P. Lonie; John A. W. McCall (UKCI, 2013)

Combining biochemical network motifs within an ARN-agent control system. - Claire Gerrard; John A. W. McCall; Christopher MacLeod; George Macleod Coghill (UKCI, 2013)

An application of a GA with Markov network surrogate to feature selection. - Alexander E. I. Brownlee; Olivier Regnier-Coudert; John A. W. McCall; Stewart Massie; Stefan Stulajter (Int. J. Syst. Sci., 2013)

Fitness Modeling With Markov Networks. - Alexander E. I. Brownlee; John A. W. McCall; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2013)

Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings. - Lee A. Christie; John A. W. McCall; David P. Lonie (GECCO, 2014)

Factoradic Representation for Permutation Optimisation. - Olivier Regnier-Coudert; John A. W. McCall (PPSN, 2014)

D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (Evol. Comput., 2014)

Exploring aspects of cell intelligence with artificial reaction networks. - Claire E. Gerrard; John A. W. McCall; George Macleod Coghill; Christopher MacLeod (Soft Comput., 2014)

A data fusion framework for large-scale measurement platforms. - Prapa Rattadilok; John A. W. McCall; Trevor Burbridge; Andrea Soppera; Philip Eardley (IEEE BigData, 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 (CEC, 2015)

Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. - Juan Ignacio Alonso-Barba; Luis de la Ossa; Olivier Regnier-Coudert; John A. W. McCall; José A. Gámez 001; José M. Puerta (GECCO, 2015)

Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling Problem. - Mayowa Ayodele; John A. W. McCall; Olivier Regnier-Coudert (GECCO (Companion), 2015)

Generating Easy and Hard Problems using the Proximate Optimality Principle. - John A. W. McCall; Lee A. Christie; Alexander E. I. Brownlee (GECCO (Companion), 2015)

Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces. - Russell Ainslie; Siddhartha Shakya; John A. W. McCall; Gilbert Owusu (SGAI Conf., 2015)

Applications and design of cooperative multi-agent ARN-based systems. - Claire E. Gerrard; John A. W. McCall; Christopher MacLeod; George M. Coghill (Soft Comput., 2015)

BPGA-EDA for the multi-mode resource constrained project scheduling problem. - Mayowa Ayodele; John A. W. McCall; Olivier Regnier-Coudert (CEC, 2016)

GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome. - Peter A. N. Bosman; John A. W. McCall (GECCO (Companion), 2016)

Predictive planning with neural networks. - Russell Ainslie; John A. W. McCall; Siddhartha Shakya; Gilbert Owusu (IJCNN, 2016)

RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm. - Mayowa Ayodele; John A. W. McCall; Olivier Regnier-Coudert (PPSN, 2016)

Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem. - Mayowa Ayodele; John A. W. McCall; Olivier Regnier-Coudert (CEC, 2017)

A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem. - Mayowa Ayodele; John A. W. McCall; Olivier Regnier-Coudert; Liam Bowie (CEC, 2017)

Interpolated continuous optimisation problems with tunable landscape features. - Benjamin Lacroix; Lee A. Christie; John A. W. McCall (GECCO (Companion), 2017)

Predicting Service Levels Using Neural Networks. - Russell Ainslie; John A. W. McCall; Sid Shakya; Gilbert Owusu (SGAI Conf., 2017)

Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model. - Russell Ainslie; John A. W. McCall; Sid Shakya; Gilbert Owusu (CEC, 2018)

Performance Analysis of GA and PBIL Variants for Real-World Location-Allocation Problems. - Reginald Ankrah; Olivier Regnier-Coudert; John A. W. McCall; Anthony Conway; Andrew Hardwick (CEC, 2018)

Iterated Racing Algorithm for Simulation-Optimisation of Maintenance Planning. - Benjamin Lacroix; John A. W. McCall; Jérôme Lonchampt (CEC, 2018)

An Analysis of Indirect Optimisation Strategies for Scheduling. - Charles Neau; Olivier Regnier-Coudert; John A. W. McCall (CEC, 2018)

A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem. - Reginald Ankrah; Benjamin Lacroix; John A. W. McCall; Andrew Hardwick; Anthony Conway (SGAI Conf., 2018)

Introducing the Dynamic Customer Location-Allocation Problem. - Reginald Ankrah; Benjamin Lacroix; John A. W. McCall; Andrew Hardwick; Anthony Conway (CEC, 2019)

On the definition of dynamic permutation problems under landscape rotation. - Joan Alza; Mark Bartlett; Josu Ceberio; John McCall 001 (GECCO (Companion), 2019)

Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. - Benjamin Lacroix; John A. W. McCall (GECCO (Companion), 2019)

Simultaneous meta-data and meta-classifier selection in multiple classifier system. - Tien Thanh Nguyen; Anh Vu Luong; Thi Minh Van Nguyen; Trong Sy Ha; Alan Wee-Chung Liew; John McCall 001 (GECCO, 2019)

Evolving an Optimal Decision Template for Combining Classifiers. - Tien Thanh Nguyen; Anh Vu Luong; Manh Truong Dang; Lan Phuong Dao; Thi Thu Thuy Nguyen; Alan Wee-Chung Liew; John McCall 001 (ICONIP (1), 2019)

Deep Heterogeneous Ensemble. - Tien Thanh Nguyen; Manh Truong Dang; Dung Pham; Lan Phuong Dao; Anh Vu Luong; John McCall 001; Alan Wee-Chung Liew (Aust. J. Intell. Inf. Process. Syst., 2019)

Multi-label classification via incremental clustering on an evolving data stream. - Tien Thanh Nguyen; Manh Truong Dang; Anh Vu Luong; Alan Wee-Chung Liew; Tiancai Liang; John McCall 001 (Pattern Recognit., 2019)

Confidence in Prediction: An Approach for Dynamic Weighted Ensemble. - Duc Thuan Do; Tien Thanh Nguyen; The Trung Nguyen; Anh Vu Luong; Alan Wee-Chung Liew; John McCall 001 (ACIIDS (1), 2020)

Racing Strategy for the Dynamic-Customer Location-Allocation Problem. - Reginald Ankrah; Benjamin Lacroix; John A. W. McCall; Andrew Hardwick; Anthony Conway; Gilbert Owusu (CEC, 2020)

WEC: Weighted Ensemble of Text Classifiers. - Ashish Upadhyay; Tien Thanh Nguyen; Stewart Massie; John A. W. McCall (CEC, 2020)

Evolved ensemble of detectors for gross error detection. - Tien Thanh Nguyen; John McCall 001; Allan Wilson; Laud Ochei; Helen Corbett; Phil Stockton (GECCO Companion, 2020)

Multi-layer heterogeneous ensemble with classifier and feature selection. - Tien Thanh Nguyen; Nang Van Pham; Manh Truong Dang; Anh Vu Luong; John McCall 001; Alan Wee-Chung Liew (GECCO, 2020)

Toward an Ensemble of Object Detectors. - Truong Dang; Tien Thanh Nguyen; John McCall 001 (ICONIP (5), 2020)

A Homogeneous-Heterogeneous Ensemble of Classifiers. - Anh Vu Luong; Trung Hieu Vu; Phuong Minh Nguyen; Nang Van Pham; John A. W. McCall; Alan Wee-Chung Liew; Tien Thanh Nguyen (ICONIP (5), 2020)

Comparative Run-Time Performance of Evolutionary Algorithms on Multi-objective Interpolated Continuous Optimisation Problems. - Alexandru-Ciprian Zavoianu; Benjamin Lacroix; John McCall 001 (PPSN (1), 2020)

Ensemble-Based Relationship Discovery in Relational Databases. - Akinola Ogunsemi; John A. W. McCall; Mathias Kern; Benjamin Lacroix; David Corsar; Gilbert Owusu (SGAI Conf., 2020)

Programming Heterogeneous Parallel Machines Using Refactoring and Monte-Carlo Tree Search. - Christopher Brown 002; Vladimir Janjic; Mehdi Goli 001; John A. W. McCall (Int. J. Parallel Program., 2020)

Evolving interval-based representation for multiple classifier fusion. - Tien Thanh Nguyen; Manh Truong Dang; Vimal Anand Baghel; Anh Vu Luong; John McCall 001; Alan Wee-Chung Liew (Knowl. Based Syst., 2020)

Ensemble Selection based on Classifier Prediction Confidence. - Tien Thanh Nguyen; Anh Vu Luong; Manh Truong Dang; Alan Wee-Chung Liew; John McCall 001 (Pattern Recognit., 2020)

VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning. - Kate Han; Tien Pham; Trung Hieu Vu; Truong Dang; John A. W. McCall; Tien Thanh Nguyen (ACIIDS, 2021)

Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; Carlos Francisco Moreno-García; Eyad Elyan; John A. W. McCall (CEC, 2021)

Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem. - Joan Alza; Mark Bartlett; Josu Ceberio; John A. W. McCall (GECCO Companion, 2021)

Weighted ensemble of gross error detection methods based on particle swarm optimization. - Daniel Dobos; Tien Thanh Nguyen; John A. W. McCall; Allan Wilson; Phil Stockton; Helen Corbett (GECCO Companion, 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 001 (GECCO Companion, 2021)

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. - Arnaud Liefooghe; Sébastien Vérel; Benjamin Lacroix; Alexandru-Ciprian Zavoianu; John A. W. McCall (GECCO, 2021)

Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms. - Martin Fyvie; John A. W. McCall; Lee A. Christie (SGAI Conf., 2021)

Non-Deterministic Solvers and Explainable AI through Trajectory Mining. - Martin Fyvie; John A. W. McCall; Lee A. Christie (SICSA XAI, 2021)

Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. - Truong Dang; Tien Thanh Nguyen; John A. W. McCall; Alan Wee-Chung Liew (CoRR, 2021)

Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. - Truong Dang; Anh Vu Luong; Alan Wee-Chung Liew; John McCall 001; Tien Thanh Nguyen (CEC, 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 001 (EUROCAST, 2022)

Lightweight Interpolation-Based Surrogate Modelling for Multi-objective Continuous Optimisation. - Alexandru-Ciprian Zavoianu; Benjamin Lacroix; John McCall 001 (EUROCAST, 2022)

Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem. - Akinola Ogunsemi; John A. W. McCall; Mathias Kern; Benjamin Lacroix; David Corsar; Gilbert Owusu (GECCO Companion, 2022)

Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. - Joan Alza; Mark Bartlett; Josu Ceberio; John A. W. McCall (PPSN (1), 2022)

Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem. - Akinola Ogunsemi; John McCall 001; Mathias Kern; Benjamin Lacroix; David Corsar; Gilbert Owusu (SGAI Conf., 2022)

Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; John McCall 001; Alan Wee-Chung Liew (SSCI, 2022)

Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset. - Yijun Yan; Yinhe Li; Hanhe Lin; Md. Mostafa Kamal Sarker; Jinchang Ren; John McCall 001 (BICS, 2023)

Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. - Martin Fyvie; John McCall 001; Lee A. Christie; Alexander E. I. Brownlee (GECCO Companion, 2023)

Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement. - Joseph Collins; Alexandru-Ciprian Zavoianu; John A. W. McCall (SGAI Conf., 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 (SGAI Conf., 2023)

A Weighted Ensemble of Regression Methods for Gross Error Identification Problem. - Daniel Dobos; Truong Dang; Tien Thanh Nguyen; John McCall 001; Allan Wilson; Helen Corbett; Phil Stockton (SSCI, 2023)

DEFEG: Deep Ensemble with Weighted Feature Generation. - Anh Vu Luong; Tien Thanh Nguyen; Kate Han; Trung Hieu Vu; John McCall 001; Alan Wee-Chung Liew (Knowl. Based Syst., 2023)

On the elusivity of dynamic optimisation problems. - Joan Alza; Mark Bartlett; Josu Ceberio; John McCall 001 (Swarm Evol. Comput., 2023)

A comparative study of anomaly detection methods for gross error detection problems. - Daniel Dobos; Tien Thanh Nguyen; Truong Dang; Allan Wilson; Helen Corbett; John A. W. McCall; Phil Stockton (Comput. Chem. Eng., 2023)

A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture. - Truong Dang; Tien Thanh Nguyen; John McCall 001; Kate Han; Alan Wee-Chung Liew (CEC, 2024)

Optimising Public Transport Through the Integration of Micro and Macro-level Simulations. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John A. W. McCall (EUROCAST (1), 2024)

Mining Potentially Explanatory Patterns via Partial Solutions. - Giancarlo Antonino Pasquale Ignazio Catalano; Alexander E. I. Brownlee; David E. Cairns; John A. W. McCall; Russell Ainslie (GECCO Companion, 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 (GECCO, 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 (PPSN (4), 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 (SGAI Conf. (2), 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 003; Ting Hu 001 (CoRR, 2024)

Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems. - Truong Dang; Tien Thanh Nguyen; Alan Wee-Chung Liew; Eyad Elyan; John A. W. McCall (Knowl. Based Syst., 2024)

Introduction to the Special Issue on Explainable AI in Evolutionary Computation. - Jaume Bacardit; Alexander E. I. Brownlee; Stefano Cagnoni; Giovanni Iacca; John A. W. McCall; David J. Walker (ACM Trans. Evol. Learn. Optim., 2024)

Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; John A. W. McCall; Eyad Elyan; Carlos Francisco Moreno-García (Cogn. Comput., 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., 2024)

Interpretable Decision Trees to Predict Solution Fitness. - Giancarlo Antonino Pasquale Ignazio Catalano; Alexander E. I. Brownlee; David E. Cairns; Russell Ainslie; John A. W. McCall (GECCO, 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., 2025)

Introduction to the Special Issue on Explainable AI in Evolutionary Computation - Part 2. - Jaume Bacardit; Alexander E. I. Brownlee; Stefano Cagnoni; Giovanni Iacca; John McCall 001; David Walker 003 (ACM Trans. Evol. Learn. Optim., 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., 2025)