John A. W. McCall

Affiliations:
  • Robert Gordon University, Aberdeen, UK


According to our database1, John A. W. McCall authored at least 127 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A comparative study of anomaly detection methods for gross error detection problems.
Comput. Chem. Eng., July, 2023

On the elusivity of dynamic optimisation problems.
Swarm Evol. Comput., 2023

DEFEG: Deep Ensemble with Weighted Feature Generation.
Knowl. Based Syst., 2023

A Weighted Ensemble of Regression Methods for Gross Error Identification Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures.
Proceedings of the Artificial Intelligence XL, 2023

Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement.
Proceedings of the Artificial Intelligence XL, 2023

Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem.
Proceedings of the Artificial Intelligence XXXIX, 2022

Analysing the Fitness Landscape Rotation for Combinatorial Optimisation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Lightweight Interpolation-Based Surrogate Modelling for Multi-objective Continuous Optimisation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

Ensemble of deep learning models with surrogate-based optimization for medical image segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation.
CoRR, 2021

Two layer Ensemble of Deep Learning Models for Medical Image Segmentation.
CoRR, 2021

Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms.
Proceedings of the Artificial Intelligence XXXVIII, 2021

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Weighted ensemble of gross error detection methods based on particle swarm optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020
Ensemble Selection based on Classifier Prediction Confidence.
Pattern Recognit., 2020

Evolving interval-based representation for multiple classifier fusion.
Knowl. Based Syst., 2020

Programming Heterogeneous Parallel Machines Using Refactoring and Monte-Carlo Tree Search.
Int. J. Parallel Program., 2020

Ensemble-Based Relationship Discovery in Relational Databases.
Proceedings of the Artificial Intelligence XXXVII, 2020

Comparative Run-Time Performance of Evolutionary Algorithms on Multi-objective Interpolated Continuous Optimisation Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Homogeneous-Heterogeneous Ensemble of Classifiers.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Toward an Ensemble of Object Detectors.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multi-layer heterogeneous ensemble with classifier and feature selection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolved ensemble of detectors for gross error detection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

WEC: Weighted Ensemble of Text Classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Racing Strategy for the Dynamic-Customer Location-Allocation Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Confidence in Prediction: An Approach for Dynamic Weighted Ensemble.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Multi-label classification via incremental clustering on an evolving data stream.
Pattern Recognit., 2019

Deep Heterogeneous Ensemble.
Aust. J. Intell. Inf. Process. Syst., 2019

Evolving an Optimal Decision Template for Combining Classifiers.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Simultaneous meta-data and meta-classifier selection in multiple classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Limitations of benchmark sets and landscape features for algorithm selection and performance prediction.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the definition of dynamic permutation problems under landscape rotation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Introducing the Dynamic Customer Location-Allocation Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem.
Proceedings of the Artificial Intelligence XXXV, 2018

An Analysis of Indirect Optimisation Strategies for Scheduling.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Iterated Racing Algorithm for Simulation-Optimisation of Maintenance Planning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Performance Analysis of GA and PBIL Variants for Real-World Location-Allocation Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Predicting Service Levels Using Neural Networks.
Proceedings of the Artificial Intelligence XXXIV, 2017

Interpolated continuous optimisation problems with tunable landscape features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A Random Key based Estimation of Distribution Algorithm for the Permutation Flowshop Scheduling Problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Predictive planning with neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

BPGA-EDA for the multi-mode resource constrained project scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Applications and design of cooperative multi-agent ARN-based systems.
Soft Comput., 2015

Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Generating Easy and Hard Problems using the Proximate Optimality Principle.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A data fusion framework for large-scale measurement platforms.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Exploring aspects of cell intelligence with artificial reaction networks.
Soft Comput., 2014

<i>D<sup>2</sup>MOPSO</i>: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces.
Evol. Comput., 2014

Factoradic Representation for Permutation Optimisation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Fitness Modeling With Markov Networks.
IEEE Trans. Evol. Comput., 2013

An application of a GA with Markov network surrogate to feature selection.
Int. J. Syst. Sci., 2013

Combining biochemical network motifs within an ARN-agent control system.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Partial structure learning by subset walsh transform.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Geometric-based sampling for permutation optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Artificial Reaction Network Agents.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

Mapping parallel programs to heterogeneous CPU/GPU architectures using a Monte Carlo Tree Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Artificial chemistry approach to exploring search spaces using Artificial Reaction Network agents.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Understanding Team Dynamics with Agent-Based Simulation.
Proceedings of the Transforming Field and Service Operations, 2013

2012
Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers.
Artif. Intell. Medicine, 2012

Competing Mutating Agents for Bayesian Network Structure Learning.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Temporal Patterns in Artificial Reaction Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Influence of selection on structure learning in markov network EDAs: an empirical study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An Island Model Genetic Algorithm for Bayesian network structure learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Intelligent Tuning of a Dynamic Business Simulation Environment.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Privacy-preserving approach to bayesian network structure learning from distributed data.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Clustering based leaders' selection in multi-objective evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, 2011

Fitness landscape analysis of Bayesian network structure learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions.
Proceedings of the Parallel Problem Solving from Nature, 2010

A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition.
Proceedings of the Parallel Problem Solving from Nature, 2010

Two novel Ant Colony Optimization approaches for Bayesian network structure learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolving interface designs to minimize user task times as simulated in a cognitive architecture.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolved Bayesian Network models of rig operations in the gulf of Mexico.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Using a Markov network as a surrogate fitness function in a genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Accelerated optimisation of chemotherapy dose schedules using fitness inheritance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A fully multivariate DEUM algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Structure learning and optimisation in a Markov-network based estimation of distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Superimposed Information Architecture for Digital Libraries.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2008

Fitness directed intervention crossover approaches applied to bio-scheduling problems.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

Bio-control in mushroom farming using a Markov network EDA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Optimisation of cancer chemotherapy schedules using directed intervention crossover approaches.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Optimization by estimation of distribution with DEUM framework based on Markov random fields.
Int. J. Autom. Comput., 2007

A chain-model genetic algorithm for Bayesian network structure learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Solving the MAXSAT problem using a multivariate EDA based on Markov networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Smart problem solving environment for medical decision support.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Statistical optimisation and tuning of GA factors.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
Classification of GRF texture in mammograms through discriminant analysis.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2001
Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

Markov Random Field Modelling of Royal Road Genetic Algorithms.
Proceedings of the Artificial Evolution, 2001

2000
A functional framework for the implementation of genetic algorithms: Comparing Haskell and Standard ML.
Proceedings of the Selected papers from the 2nd Scottish Functional Programming Workshop (SFP00), 2000

Component Based Visual Software Engineering.
Proceedings of the ICEIS 2000, 2000

The Prediction of Permeability in Oil-Bearing Strata using Genetic Algorithms.
Proceedings of the Artificial Intelligence and Soft Computing, July 24-26, 2000, Banff, 2000

1999
Towards a Visual Environment for Enterprise Systems.
Proceedings of the 1st International Conference on Enterprise Information Systems, 1999


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