John A. W. McCall
Orcid: 0000-0003-1738-7056Affiliations:
- Robert Gordon University, Aberdeen, UK
According to our database1,
John A. W. McCall
authored at least 138 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms.
IEEE Trans. Intell. Transp. Syst., September, 2024
Cogn. Comput., May, 2024
ACM Trans. Evol. Learn. Optim., March, 2024
Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems.
Knowl. Based Syst., 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems.
CoRR, 2024
Proceedings of the Artificial Intelligence XLI, 2024
On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Comput. Chem. Eng., July, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
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
Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 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
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
Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, 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
Pattern Recognit., 2020
Knowl. Based Syst., 2020
Programming Heterogeneous Parallel Machines Using Refactoring and Monte-Carlo Tree Search.
Int. J. Parallel Program., 2020
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
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2019
Pattern Recognit., 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
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
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Proceedings of the Artificial Intelligence XXXV, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
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
Proceedings of the Artificial Intelligence XXXIV, 2017
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
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
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
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
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
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
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
Int. J. Syst. Sci., 2013
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
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
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
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
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
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
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011
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
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
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
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
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
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
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
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
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
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003
2001
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001
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