Jonathan Fieldsend

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Richard EversonProfessor of Machine Learning, University of ExeterVerified email at exeter.ac.uk
Alma RahatAssociate Professor of Data Science, Swansea UniversityVerified email at swansea.ac.uk
David WalkerLecturer in Computer Science, University of PlymouthVerified email at plymouth.ac.uk
vitaly schetininSenior Lecturer in Machine Learnig, University of BedfordshireVerified email at beds.ac.uk
Trevor BaileyEmeritus Professor of Applied Statistics, Exeter UniversityVerified email at exeter.ac.uk
Steven DanielsResearch FellowVerified email at exeter.ac.uk
Adolfo HernándezHead of UCM Research Group "Statistical Methods and Big Data applied to Economy, Tourism..."Verified email at ucm.es
Gavin TaborProfessor of CFD, University of ExeterVerified email at ex.ac.uk
George De AthUniversity of ExeterVerified email at exeter.ac.uk
Richard AllmendingerProfessor at The University of Manchester, UK, Fellow of the Alan Turing InstituteVerified email at manchester.ac.uk
Khulood AlyahyaUniversity of ExeterVerified email at exeter.ac.uk
Ozgur AkmanAssociate Professor of Mathematics for Biology and MedicineVerified email at exeter.ac.uk
Tinkle ChughLecturer (Assistant Professor) in Computer Science, University of ExeterVerified email at exeter.ac.uk
Geyong MinUniversity of ExeterVerified email at exeter.ac.uk
Yaochu JinA. v. Humboldt Professor for AI, Bielefeld University, Germany; University of Surrey, UKVerified email at uni-bielefeld.de
Colette J WhitfieldPostdoctoral Researcher, Max Planck Institute for Polymer ResearchVerified email at mpip-mainz.mpg.de
Dr Alice M. BanksImperial College LondonVerified email at imperial.ac.uk
David A FultonSenior Lecturer, Newcastle UniversityVerified email at ncl.ac.uk
Thomas P HowardNewcastle UniversityVerified email at newcastle.ac.uk
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu

Jonathan Fieldsend

Professor of Computational Intelligence, Department of Computer Science, University of Exeter

Verified email at exeter.ac.uk - Homepage

Multi-Objective Optimization Bayesian Optimization Evolutionary Computation Machine Learning Data Visualization


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A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence. JE Fieldsend, S Singh UK Workshop on Computational Intelligence (UKCI'02), 2002	449	2002
A MOPSO algorithm based exclusively on Pareto dominance concepts J Alvarez-Benitez, R Everson, J Fieldsend Evolutionary Multi-Criterion Optimization, 459-473, 2005	380	2005
Using unconstrained elite archives for multiobjective optimization JE Fieldsend, RM Everson, S Singh Evolutionary Computation, IEEE Transactions on 7 (3), 305-323, 2003	292	2003
A framework of fog computing: Architecture, challenges, and optimization Y Liu, JE Fieldsend, G Min IEEE Access 5, 25445-25454, 2017	209	2017
Dominance-based multiobjective simulated annealing KI Smith, RM Everson, JE Fieldsend, C Murphy, R Misra Evolutionary Computation, IEEE Transactions on 12 (3), 323-342, 2008	189	2008
Multi-class ROC analysis from a multi-objective optimisation perspective RM Everson, JE Fieldsend Pattern Recognition Letters 27 (8), 918-927, 2006	138	2006
Visualising Mutually Non-dominating Solution Sets in Many-objective Optimisation DJ Walker, RM Everson, JE Fieldsend IEEE Transactions on Evolutionary Computation 17 (2), 165-184, 2013	137	2013
Dominance measures for multi-objective simulated annealing KI Smith, RM Everson, JE Fieldsend Evolutionary Computation, 2004. CEC2004. Congress on 1, 23-30 Vol. 1, 2004	137	2004
Pareto evolutionary neural networks JE Fieldsend, S Singh IEEE Transactions on Neural Networks 16 (2), 338-354, 2005	125	2005
Multi-objective optimisation in the presence of uncertainty JE Fieldsend, RM Everson 2005 IEEE Congress on Evolutionary Computation 1, 243-250, 2005	108	2005
Cardinality constrained portfolio optimisation JE Fieldsend, J Matatko, M Peng Intelligent Data Engineering and Automated Learning–IDEAL 2004: 5th …, 2004	101	2004
Identification of masses in digital mammograms with MLP and RBF nets K Bovis, S Singh, J Fieldsend, C Pinder Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000	89	2000
Full elite-sets for multiobjective optimisation RM Everson, JE Fieldsend, S Singh Conference on adaptive computing in design and manufacture (ADCM 2002), 343-354, 2002	87	2002
Running up those hills: Multi-modal search with the niching migratory multi-swarm optimiser JE Fieldsend 2014 IEEE congress on evolutionary computation (CEC), 2593-2600, 2014	85	2014
Multi-objective particle swarm optimisation methods JE Fieldsend University of Exeter, 2004	84	2004
Confident interpretation of Bayesian decision tree ensembles for clinical applications V Schetinin, JE Fieldsend, D Partridge, TJ Coats, WJ Krzanowski, ... IEEE Transactions on Information Technology in Biomedicine 11 (3), 312-319, 2007	75	2007
Multiobjective optimization of safety related systems: An application to short-term conflict alert RM Everson, JE Fieldsend Evolutionary Computation, IEEE Transactions on 10 (2), 187-198, 2006	71	2006
The Rolling Tide Evolutionary Algorithm: A Multi-Objective Optimiser for Noisy Optimisation Problems J Fieldsend, R Everson IEEE Transactions on Evolutionary Computation 19 (1), 103-117, 2015	60	2015
Greed is good: Exploration and exploitation trade-offs in Bayesian optimisation G De Ath, RM Everson, AAM Rahat, JE Fieldsend ACM Transactions on Evolutionary Learning and Optimization 1 (1), 1-22, 2021	55	2021
Large-scale evolutionary multiobjective optimization assisted by directed sampling S Qin, C Sun, Y Jin, Y Tan, J Fieldsend IEEE transactions on evolutionary computation 25 (4), 724-738, 2021	55	2021

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