Ed Keedwell

According to our database, Ed Keedwell authored at least 85 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Greedy Strategies to Improve Phased Genetic Programming When Applied Directly to the Traveling Salesman Problem.

Darren M. Chitty, Ed Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Applying a Quantum Annealer to the Traffic Assignment Problem.

Darren M. Chitty, James Charles, Alberto Moraglio, Ed Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

A Differential Pheromone Grouping Ant Colony Optimization Algorithm for the 1-D Bin Packing Problem.

Aseel Ismael Ali, Edward C. Keedwell, Ayah Helal

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling.

James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Multi-Objective Multi-Gene Genetic Programming for the Prediction of Leakage in Water Distribution Networks.

Matthew Hayslep, Edward C. Keedwell, Raziyeh Farmani

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Using a Parallel Ensemble of Sequence-Based Selection Hyper-Heuristics for Electric Bus Scheduling.

Darren M. Chitty, James Lewis, Ed Keedwell

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling.

Darren M. Chitty, James Lewis, Ed Keedwell

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Phased Genetic Programming for Application to the Traveling Salesman Problem.

Darren M. Chitty, Ed Keedwell

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Using Evolutionary Routing Optimisation to Transition to Electric Vehicle Fleets.

Darren M. Chitty, William B. Yates, Ed Keedwell

Proceedings of the Advances in Computational Intelligence Systems, 2022

Networks of evolution: modelling and deconstructing genetic algorithms using dynamic networks.

Clodomir J. Santana Jr., Edward C. Keedwell, Ronaldo Menezes

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A hyper-heuristic approach for the PDPTW.

Amir Nasiri, Ed Keedwell, Raphaël Dorne, Mathias Kern, Gilbert Owusu

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Selection hyper-heuristics.

Ahmed Kheiri, Edward C. Keedwell

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

An edge quality aware crossover operator for application to the capacitated vehicle routing problem.

Darren M. Chitty, William B. Yates, Ed Keedwell

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Towards a Many-Objective Optimiser for University Course Timetabling.

James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell

Proceedings of the Artificial Evolution, 2022

Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study.

Darren M. Chitty, Ed Keedwell

Proceedings of the Artificial Evolution, 2022

2021

Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey.

Shahin Jalili, Samadhi Nallaperuma, Edward C. Keedwell, Alex Dawn, Laurence Oakes-Ash

Swarm Evol. Comput., 2021

Offline Learning with a Selection Hyper-Heuristic: An Application to Water Distribution Network Optimisation.

William B. Yates, Edward C. Keedwell

Evol. Comput., 2021

A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem.

Ahmed Kheiri, Angeliki Gretsista, Ed Keedwell, Guglielmo Lulli, Michael G. Epitropakis, Edmund K. Burke

Comput. Oper. Res., 2021

Learning assignment order in an ant colony optimiser for the university course timetabling problem.

James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Wastewater systems planned maintenance scheduling using multi-objective optimisation.

Sabrina Draude, Edward C. Keedwell, Zoran Kapelan, Rebecca Hiscock

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Heterogenous Adaptive Ant Colony Optimization with 3-opt local search for the Travelling Salesman Problem.

Ahamed Fayeez Tuani, Edward C. Keedwell, Matthew Collett

Appl. Soft Comput., 2020

Human-Derived Heuristic Enhancement of an Evolutionary Algorithm for the 2D Bin-Packing Problem.

Nicholas D. F. Ross, Ed Keedwell, Dragan A. Savic

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

An approach to assess swarm intelligence algorithms based on complex networks.

Clodomir J. Santana Jr., Edward C. Keedwell, Ronaldo Menezes

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Adaptive augmented evolutionary intelligence for the design of water distribution networks.

Matthew Barrie Johns, Herman A. Mahmoud, Edward C. Keedwell, Dragan A. Savic

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

An analysis of heuristic subsequences for offline hyper-heuristic learning.

William B. Yates, Edward C. Keedwell

J. Heuristics, 2019

Analysing heuristic subsequences for offline hyper-heuristic learning.

William B. Yates, Edward C. Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Human-evolutionary problem solving through gamification of a bin-packing problem.

Nicholas D. F. Ross, Matthew Barrie Johns, Edward C. Keedwell, Dragan A. Savic

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Augmented evolutionary intelligence: combining human and evolutionary design for water distribution network optimisation.

Matthew Barrie Johns, Herman A. Mahmoud, David J. Walker, Nicholas D. F. Ross, Edward C. Keedwell, Dragan A. Savic

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

EMOCS: evolutionary multi-objective optimisation for clinical scorecard generation.

Diane P. Fraser, Edward C. Keedwell, Stephen L. Michell, Ray Sheridan

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Optimisation of a Checkers Player Using Neural and Metaheuristic Approaches.

Ethan Bunce, Edward C. Keedwell

Proceedings of the Artificial Evolution, 2019

2018

A Novel Population Initialization Method Based on Support Vector Machine.

Edward C. Keedwell, Mathieu Brévilliers, Lhassane Idoumghar, Julien Lepagnot, Hojjat Rakhshani

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Investigating Behavioural Diversity via Gaussian Heterogeneous Ant Colony Optimization for Combinatorial Optimization Problems.

Ahamed Fayeez Tuani, Ed Keedwell, Matthew Collett

Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, 2018

Summary of evolutionary computation for wind farm layout optimization.

Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo López Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Özcan, Sergio Iwan Valdez Pea, Brian Goldman, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Automatic hyperparameter selection in Autodock.

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Edward C. Keedwell

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper-Heuristics with a Case Study in High School Timetabling Problems.

Ahmed Kheiri, Ed Keedwell

Evol. Comput., 2017

Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning.

William B. Yates, Edward C. Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Offline Learning for Selection Hyper-heuristics with Elman Networks.

William B. Yates, Edward C. Keedwell

Proceedings of the Artificial Evolution, 2017

H-ACO: A Heterogeneous Ant Colony Optimisation Approach with Application to the Travelling Salesman Problem.

Ahamed Fayeez Tuani, Edward C. Keedwell, Matthew Collett

Proceedings of the Artificial Evolution, 2017

2016

A weighted cellular automata 2D inundation model for rapid flood analysis.

Michele Guidolin, Albert S. Chen, Bidur Ghimire, Edward C. Keedwell, Slobodan Djordjevic, Dragan A. Savic

Environ. Model. Softw., 2016

Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators.

David J. Walker, Ed Keedwell

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic.

David J. Walker, Ed Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

An investigation of the efficient implementation of cellular automata on multi-core CPU and GPU hardware.

Michael John Gibson, Edward C. Keedwell, Dragan A. Savic

J. Parallel Distributed Comput., 2015

Evolving robot sub-behaviour modules using Gene Expression Programming.

Jonathan Mwaura, Ed Keedwell

Genet. Program. Evolvable Mach., 2015

An analysis of the interface between evolutionary algorithm operators and problem features for water resources problems. A case study in water distribution network design.

Kent McClymont, Ed Keedwell, Dragan A. Savic

Environ. Model. Softw., 2015

An Ant Colony Optimization and Tabu List Approach to the Detection of Gene-Gene Interactions in Genome-Wide Association Studies [Research Frontier].

Emmanuel Sapin, Edward C. Keedwell, Timothy M. Frayling

IEEE Comput. Intell. Mag., 2015

Evolving Robotic Neuro-Controllers Using Gene Expression Programming.

Jonathan Mwaura, Ed Keedwell

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A Sequence-based Selection Hyper-heuristic Utilising a Hidden Markov Model.

Ahmed Kheiri, Ed Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Spatial and Temporal Visualisation of Evolutionary Algorithm Decisions in Water Distribution Network Optimisation.

Edward C. Keedwell, Matthew Barrie Johns, Dragan A. Savic

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

A Subset-Based Ant Colony Optimisation with Tournament Path Selection for High-Dimensional Problems.

Emmanuel Sapin, Ed Keedwell

Trans. Comput. Collect. Intell., 2014

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.

Holger R. Maier, Zoran Kapelan, Joseph R. Kasprzyk, Joshua B. Kollat, L. Shawn Matott, Maria C. Cunha, Graeme C. Dandy, Matthew S. Gibbs, Ed Keedwell, Angela Marchi, Avi Ostfeld, Dragan A. Savic, Dimitri P. Solomatine, Jasper A. Vrugt, Aaron C. Zecchin, Barbara S. Minsker, E. J. Barbour, George Kuczera, F. Pasha, Andrea Castelletti, Matteo Giuliani, Patrick M. Reed

Environ. Model. Softw., 2014

Artificial Development of Biologically Plausible Neural-Symbolic Networks.

Joe Townsend, Ed Keedwell, Antony Galton

Cogn. Comput., 2014

An evolutionary computational approach to phase and synchronization in biological circuits.

Ajit Narayanan, Edward C. Keedwell

Proceedings of the 10th International Conference on Natural Computation, 2014

On using Gene Expression Programming to evolve multiple output robot controllers.

Jonathan Mwaura, Ed Keedwell

Proceedings of the 2014 IEEE International Conference on Evolvable Systems, 2014

Ant colony optimisation of decision trees for the detection of gene-gene interactions.

Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

An analysis of the area under the ROC curve and its use as a metric for comparing clinical scorecards.

Ed Keedwell

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid.

Ed Keedwell, Ajit Narayanan

Int. J. Data Min. Bioinform., 2013

Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies.

Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm.

Joe Townsend, Ed Keedwell, Antony Galton

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Subset-based ant colony optimisation for the discovery of gene-gene interactions in genome wide association studies.

Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Pipe smoothing genetic algorithm for least cost water distribution network design.

Matthew Barrie Johns, Edward C. Keedwell, Dragan A. Savic

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Understanding the efficient parallelisation of cellular automata on CPU and GPGPU hardware.

Mike J. Gibson, Ed Keedwell, Dragan A. Savic

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting.

Kent McClymont, Ed Keedwell

Evol. Comput., 2012

T-ACO Tournament Ant Colony Optimisation for High-dimensional Problems.

Emmanuel Sapin, Ed Keedwell

Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Continuous Trait-Based Particle Swarm Optimisation (CTB-PSO).

Ed Keedwell, Mark Morley, Darren P. Croft

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011

Ant colony optimisation to identify genetic variant association with type 2 diabetes.

Jacqueline Christmas, Edward C. Keedwell, Timothy M. Frayling, John R. B. Perry

Inf. Sci., 2011

Evolving Modularity in Robot Behaviour Using Gene Expression Programming.

Jonathan Mwaura, Ed Keedwell

Proceedings of the Towards Autonomous Robotic Systems - 12th Annual Conference, 2011

Markov chain hyper-heuristic (MCHH): an online selective hyper-heuristic for multi-objective continuous problems.

Kent McClymont, Edward C. Keedwell

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Benchmark multi-objective optimisation test problems with mixed encodings.

Kent McClymont, Ed Keedwell

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Evolution of robotic behaviours using Gene Expression Programming.

Jonathan Mwaura, Ed Keedwell

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Optimising multi-modal polynomial mutation operators for multi-objective problem classes.

Kent McClymont, Ed Keedwell

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Gene expression rule discovery with a multi-objective neural-genetic hybrid.

Ed Keedwell, Ajit Narayanan

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2007

Gene finding and rule discovery with a multi-objective neural-genetic hybrid.

Ed Keedwell, Ajit Narayanan

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks.

Yufeng Guo, Ed Keedwell, Godfrey A. Walters, Soon-Thiam Khu

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2005

Discovering Gene Networks with a Neural-Genetic Hybrid.

Ed Keedwell, Ajit Narayanan

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

A hybrid genetic algorithm for the design of water distribution networks.

Edward C. Keedwell, Soon-Thiam Khu

Eng. Appl. Artif. Intell., 2005

Neural Networks and Temporal Gene Expression Data.

A. Krishna, Ajit Narayanan, Ed Keedwell

Proceedings of the Applications of Evolutionary Computing, 2005

Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets.

Thorhildur Juliusdottir, David Corne, Ed Keedwell, Ajit Narayanan

Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004

Single-layer artificial neural networks for gene expression analysis.

Ajit Narayanan, Ed Keedwell, Jonas Gamalielsson, S. Tatineni

Neurocomputing, 2004

Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks.

Ed Keedwell, Soon-Thiam Khu

Proceedings of the Genetic and Evolutionary Computation, 2004

Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks.

Ajit Narayanan, Evangelia Nana, Ed Keedwell

Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003

Knowledge discovery from gene expression data using neural-genetic models : a comparative study of four European countries with special attention to the education of these children.

Edward C. Keedwell

PhD thesis, 2003

Genetic Algorithms for Gene Expression Analysis.

Ed Keedwell, Ajit Narayanan

Proceedings of the Applications of Evolutionary Computing, 2003

2000

Creating rules from trained networks using genetic algorithms.

Ed Keedwell, Ajit Narayanan, Dragan A. Savic

Int. J. Comput. Syst. Signals, 2000

From data mining to rule refining A new tool for post data mining rule optimisation.

Ed Keedwell, Florian Bessler, Ajit Narayanan, Dragan A. Savic

Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

Evolving rules from neural networks trained on continuous data.

Ed Keedwell, Ajit Narayanan, Dragan A. Savic

Proceedings of the 2000 Congress on Evolutionary Computation, 2000