Ed Keedwell - RankMe

52 papers A 6B 5C 4Journal 12Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Ensemble Phased Genetic Programming for Roundabout Turn Restriction Prediction. GECCO Darren M. Chitty, Ayah M. Helal, Sareh Rowlands, Craig R. G. Willis, Christopher Underwood, Ed Keedwell
2024	A	`conf`	Applying a Quantum Annealer to the Traffic Assignment Problem. GECCO Darren M. Chitty, James Charles, Alberto Moraglio, Ed Keedwell
2024	—	`conf`	Greedy Strategies to Improve Phased Genetic Programming When Applied Directly to the Traveling Salesman Problem. GECCO Companion Darren M. Chitty, Ed Keedwell
2023	—	`conf`	An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling. GECCO Companion Darren M. Chitty, James Lewis, Ed Keedwell
2023	—	`conf`	Phased Genetic Programming for Application to the Traveling Salesman Problem. GECCO Companion Darren M. Chitty, Ed Keedwell
2023	—	`conf`	Using a Parallel Ensemble of Sequence-Based Selection Hyper-Heuristics for Electric Bus Scheduling. GECCO Companion Darren M. Chitty, James Lewis, Ed Keedwell
2022	—	`conf`	A hyper-heuristic approach for the PDPTW. GECCO Companion Amir Nasiri, Ed Keedwell, Raphaël Dorne, Mathias Kern, Gilbert Owusu
2022	—	`conf`	An edge quality aware crossover operator for application to the capacitated vehicle routing problem. GECCO Companion Darren M. Chitty, William B. Yates, Ed Keedwell
2022	—	`conf`	Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study. EA Darren M. Chitty, Ed Keedwell
2022	—	`conf`	Using Evolutionary Routing Optimisation to Transition to Electric Vehicle Fleets. UKCI Darren M. Chitty, William B. Yates, Ed Keedwell
2021	J	`jnl`	A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem. Comput. Oper. Res. Ahmed Kheiri, Angeliki Gretsista, Ed Keedwell, Guglielmo Lulli, Michael G. Epitropakis, Edmund K. Burke
2020	—	`conf`	Human-Derived Heuristic Enhancement of an Evolutionary Algorithm for the 2D Bin-Packing Problem. PPSN (2) Nicholas D. F. Ross, Ed Keedwell, Dragan A. Savic
2018	—	`conf`	Investigating Behavioural Diversity via Gaussian Heterogeneous Ant Colony Optimization for Combinatorial Optimization Problems. ICAAI Ahamed Fayeez Tuani, Ed Keedwell, Matthew Collett
2018	—	`conf`	Summary of evolutionary computation for wind farm layout optimization. GECCO (Companion) Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo López Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Özcan, Sergio Ivvan Valdez Peña, Brian Goldman, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc
2017	J	`jnl`	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. Ahmed Kheiri, Ed Keedwell
2016	—	`conf`	Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic. GECCO (Companion) David J. Walker, Ed Keedwell
2016	A	`conf`	Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators. PPSN David J. Walker, Ed Keedwell
2015	A	`conf`	A Sequence-based Selection Hyper-heuristic Utilising a Hidden Markov Model. GECCO Ahmed Kheiri, Ed Keedwell
2015	J	`jnl`	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. Kent McClymont, Ed Keedwell, Dragan A. Savic
2015	—	`conf`	Evolving Robotic Neuro-Controllers Using Gene Expression Programming. SSCI Jonathan Mwaura, Ed Keedwell
2015	J	`jnl`	Evolving robot sub-behaviour modules using Gene Expression Programming. Genet. Program. Evolvable Mach. Jonathan Mwaura, Ed Keedwell
2014	J	`jnl`	A Subset-Based Ant Colony Optimisation with Tournament Path Selection for High-Dimensional Problems. Trans. Comput. Collect. Intell. Emmanuel Sapin, Ed Keedwell
2014	—	`conf`	An analysis of the area under the ROC curve and its use as a metric for comparing clinical scorecards. BIBM Ed Keedwell
2014	—	`conf`	Ant colony optimisation of decision trees for the detection of gene-gene interactions. BIBM Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling
2014	J	`jnl`	Artificial Development of Biologically Plausible Neural-Symbolic Networks. Cogn. Comput. Joe Townsend, Ed Keedwell, Antony Galton
2014	J	`jnl`	Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. Environ. Model. Softw. 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
2014	—	`conf`	On using Gene Expression Programming to evolve multiple output robot controllers. ICES Jonathan Mwaura, Ed Keedwell
2013	—	`conf`	Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies. IWBBIO Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling
2013	—	`conf`	Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm. GECCO (Companion) Joe Townsend, Ed Keedwell, Antony Galton
2013	J	`jnl`	Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid. Int. J. Data Min. Bioinform. Ed Keedwell, Ajit Narayanan
2013	A	`conf`	Subset-based ant colony optimisation for the discovery of gene-gene interactions in genome wide association studies. GECCO Emmanuel Sapin, Ed Keedwell, Timothy M. Frayling
2013	—	`conf`	Understanding the efficient parallelisation of cellular automata on CPU and GPGPU hardware. GECCO (Companion) Mike J. Gibson, Ed Keedwell, Dragan A. Savic
2012	—	`conf`	Continuous Trait-Based Particle Swarm Optimisation (CTB-PSO). ANTS Ed Keedwell, Mark Morley, Darren P. Croft
2012	J	`jnl`	Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting. Evol. Comput. Kent McClymont, Ed Keedwell
2012	C	`conf`	T-ACO Tournament Ant Colony Optimisation for High-dimensional Problems. IJCCI Emmanuel Sapin, Ed Keedwell
2011	B	`conf`	Benchmark multi-objective optimisation test problems with mixed encodings. IEEE Congress on Evolutionary Computation Kent McClymont, Ed Keedwell
2011	—	`conf`	Evolving Modularity in Robot Behaviour Using Gene Expression Programming. TAROS Jonathan Mwaura, Ed Keedwell
2010	B	`conf`	Evolution of robotic behaviours using Gene Expression Programming. IEEE Congress on Evolutionary Computation Jonathan Mwaura, Ed Keedwell
2010	—	`conf`	Gene expression rule discovery with a multi-objective neural-genetic hybrid. BIBM Ed Keedwell, Ajit Narayanan
2010	B	`conf`	Optimising multi-modal polynomial mutation operators for multi-objective problem classes. IEEE Congress on Evolutionary Computation Kent McClymont, Ed Keedwell
2007	A	`conf`	Gene finding and rule discovery with a multi-objective neural-genetic hybrid. GECCO Ed Keedwell, Ajit Narayanan
2007	C	`conf`	Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks. EMO Yufeng Guo, Ed Keedwell, Godfrey A. Walters, Soon-Thiam Khu
2005	J	`jnl`	Discovering Gene Networks with a Neural-Genetic Hybrid. IEEE ACM Trans. Comput. Biol. Bioinform. Ed Keedwell, Ajit Narayanan
2005	—	`conf`	Neural Networks and Temporal Gene Expression Data. EvoWorkshops A. Krishna, Ajit Narayanan, Ed Keedwell
2005	C	`conf`	Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets. CIBCB Thorhildur Juliusdottir, David Corne, Ed Keedwell, Ajit Narayanan
2004	C	`conf`	Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks. CIBCB Ajit Narayanan, Evangelia Nana, Ed Keedwell
2004	—	`conf`	Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks. GECCO (2) Ed Keedwell, Soon-Thiam Khu
2004	J	`jnl`	Single-layer artificial neural networks for gene expression analysis. Neurocomputing Ajit Narayanan, Ed Keedwell, Jonas Gamalielsson, S. Tatineni
2003	—	`conf`	Genetic Algorithms for Gene Expression Analysis. EvoWorkshops Ed Keedwell, Ajit Narayanan
2000	J	`jnl`	Creating rules from trained networks using genetic algorithms. Int. J. Comput. Syst. Signals Ed Keedwell, Ajit Narayanan, Dragan A. Savic
2000	B	`conf`	Evolving rules from neural networks trained on continuous data. CEC Ed Keedwell, Ajit Narayanan, Dragan A. Savic
2000	B	`conf`	From data mining to rule refining A new tool for post data mining rule optimisation. ICTAI Ed Keedwell, Florian Bessler, Ajit Narayanan, Dragan A. Savic