Ed Keedwell

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 16

Top Topics

Evolutionary Algorithm

Traveling Salesman

Timetabling Problem

Gene Expression Programming

Top Venues

GECCO Companion

GECCO (Companion)

Environ. Model. Softw.

Publications

Darren M. Chitty, Ed Keedwell
Greedy Strategies to Improve Phased Genetic Programming When Applied Directly to the Traveling Salesman Problem. GECCO Companion (2024)
Darren M. Chitty, James Charles, Alberto Moraglio, Ed Keedwell
Applying a Quantum Annealer to the Traffic Assignment Problem. GECCO (2024)
Darren M. Chitty, James Lewis, Ed Keedwell
An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling. GECCO Companion (2023)
Darren M. Chitty, Ed Keedwell
Phased Genetic Programming for Application to the Traveling Salesman Problem. GECCO Companion (2023)
Darren M. Chitty, James Lewis, Ed Keedwell
Using a Parallel Ensemble of Sequence-Based Selection Hyper-Heuristics for Electric Bus Scheduling. GECCO Companion (2023)
Darren M. Chitty, Ed Keedwell
Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study. EA (2022)
Amir Nasiri, Ed Keedwell, Raphaël Dorne, Mathias Kern, Gilbert Owusu
A hyper-heuristic approach for the PDPTW. GECCO Companion (2022)
Darren M. Chitty, William B. Yates, Ed Keedwell
Using Evolutionary Routing Optimisation to Transition to Electric Vehicle Fleets. UKCI (2022)
Darren M. Chitty, William B. Yates, Ed Keedwell
An edge quality aware crossover operator for application to the capacitated vehicle routing problem. GECCO Companion (2022)
Ahmed Kheiri, Angeliki Gretsista, Ed Keedwell, Guglielmo Lulli, Michael G. Epitropakis, Edmund K. Burke
A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem. Comput. Oper. Res. 130 (2021)
Nicholas D. F. Ross, Ed Keedwell, Dragan A. Savic
Human-Derived Heuristic Enhancement of an Evolutionary Algorithm for the 2D Bin-Packing Problem. PPSN (2) (2020)
Ahamed Fayeez Tuani, Ed Keedwell, Matthew Collett
Investigating Behavioural Diversity via Gaussian Heterogeneous Ant Colony Optimization for Combinatorial Optimization Problems. ICAAI (2018)
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
Summary of evolutionary computation for wind farm layout optimization. GECCO (Companion) (2018)
Ahmed Kheiri, Ed Keedwell
A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper-Heuristics with a Case Study in High School Timetabling Problems. Evol. Comput. 25 (3) (2017)
David J. Walker, Ed Keedwell
Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic. GECCO (Companion) (2016)
David J. Walker, Ed Keedwell
Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators. PPSN (2016)
Kent McClymont, Ed Keedwell, Dragan A. Savic
An analysis of the interface between evolutionary algorithm operators and problem features for water resources problems. A case study in water distribution network design. Environ. Model. Softw. 69 (2015)
Jonathan Mwaura, Ed Keedwell
Evolving robot sub-behaviour modules using Gene Expression Programming. Genet. Program. Evolvable Mach. 16 (2) (2015)
Jonathan Mwaura, Ed Keedwell
Evolving Robotic Neuro-Controllers Using Gene Expression Programming. SSCI (2015)
Ahmed Kheiri, Ed Keedwell
A Sequence-based Selection Hyper-heuristic Utilising a Hidden Markov Model. GECCO (2015)
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, D. 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
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. Environ. Model. Softw. 62 (2014)
Emmanuel Sapin, Ed Keedwell
A Subset-Based Ant Colony Optimisation with Tournament Path Selection for High-Dimensional Problems. Trans. Comput. Collect. Intell. 17 (2014)
Joe Townsend, Ed Keedwell, Antony Galton
Artificial Development of Biologically Plausible Neural-Symbolic Networks. Cogn. Comput. 6 (1) (2014)
Ed Keedwell
An analysis of the area under the ROC curve and its use as a metric for comparing clinical scorecards. BIBM (2014)
Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling
Ant colony optimisation of decision trees for the detection of gene-gene interactions. BIBM (2014)
Jonathan Mwaura, Ed Keedwell
On using Gene Expression Programming to evolve multiple output robot controllers. ICES (2014)
Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling
Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies. IWBBIO (2013)
Ed Keedwell, Ajit Narayanan
Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid. Int. J. Data Min. Bioinform. 7 (4) (2013)
Mike J. Gibson, Ed Keedwell, Dragan A. Savic
Understanding the efficient parallelisation of cellular automata on CPU and GPGPU hardware. GECCO (Companion) (2013)
Joe Townsend, Ed Keedwell, Antony Galton
Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm. GECCO (Companion) (2013)
Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling
Subset-based ant colony optimisation for the discovery of gene-gene interactions in genome wide association studies. GECCO (2013)
Emmanuel Sapin, Ed Keedwell
T-ACO Tournament Ant Colony Optimisation for High-dimensional Problems. IJCCI (2012)
Ed Keedwell, Mark Morley, Darren Croft
Continuous Trait-Based Particle Swarm Optimisation (CTB-PSO). ANTS (2012)
Kent McClymont, Ed Keedwell
Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting. Evol. Comput. 20 (1) (2012)
Jonathan Mwaura, Ed Keedwell
Evolving Modularity in Robot Behaviour Using Gene Expression Programming. TAROS (2011)
Kent McClymont, Ed Keedwell
Benchmark multi-objective optimisation test problems with mixed encodings. IEEE Congress on Evolutionary Computation (2011)
Kent McClymont, Ed Keedwell
Optimising multi-modal polynomial mutation operators for multi-objective problem classes. IEEE Congress on Evolutionary Computation (2010)
Ed Keedwell, Ajit Narayanan
Gene expression rule discovery with a multi-objective neural-genetic hybrid. BIBM (2010)
Jonathan Mwaura, Ed Keedwell
Evolution of robotic behaviours using Gene Expression Programming. IEEE Congress on Evolutionary Computation (2010)
Ed Keedwell, Ajit Narayanan
Gene finding and rule discovery with a multi-objective neural-genetic hybrid. GECCO (2007)
Yufeng Guo, Ed Keedwell, Godfrey A. Walters, Soon-Thiam Khu
Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks. EMO (2006)
A. Krishna, Ajit Narayanan, Ed Keedwell
Neural Networks and Temporal Gene Expression Data. EvoWorkshops (2005)
Ed Keedwell, Ajit Narayanan
Discovering Gene Networks with a Neural-Genetic Hybrid. IEEE ACM Trans. Comput. Biol. Bioinform. 2 (3) (2005)
Thorhildur Juliusdottir, David Corne, Ed Keedwell, Ajit Narayanan
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets. CIBCB (2005)
Ed Keedwell, Soon-Thiam Khu
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks. GECCO (2) (2004)
Ajit Narayanan, Evangelia Nana, Ed Keedwell
Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks. CIBCB (2004)
Ajit Narayanan, Ed Keedwell, Jonas Gamalielsson, S. Tatineni
Single-layer artificial neural networks for gene expression analysis. Neurocomputing 61 (2004)
Ed Keedwell, Ajit Narayanan
Genetic Algorithms for Gene Expression Analysis. EvoWorkshops (2003)
Ed Keedwell, Florian Bessler, Ajit Narayanan, Dragan A. Savic
From data mining to rule refining A new tool for post data mining rule optimisation. ICTAI (2000)
Ed Keedwell, Ajit Narayanan, Dragan A. Savic
Evolving rules from neural networks trained on continuous data. CEC (2000)
Ed Keedwell, Ajit Narayanan, Dragan A. Savic
Creating rules from trained networks using genetic algorithms. Int. J. Comput. Syst. Signals 1 (1) (2000)