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 WalkerSenior Lecturer in Computer Science, University of ExeterVerified email at exeter.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
Gavin TaborProfessor of CFD, University of ExeterVerified email at ex.ac.uk
Steven DanielsResearch FellowVerified email at exeter.ac.uk
Adolfo HernándezUniversidad Complutense de Madrid (ROR 02p0gd045). Facultad de Comercio y Turismo. Madrid, EspañaVerified email at ucm.es
George De AthUniversity of ExeterVerified email at exeter.ac.uk
Richard AllmendingerProfessor of Applied AI, The University of Manchester, UKVerified email at manchester.ac.uk
Khulood AlyahyaKing Saud UniversityVerified email at ksu.edu.sa
Ozgur AkmanAssociate Professor of Mathematics for Biology and MedicineVerified email at exeter.ac.uk
Juergen BrankeProfessor of Operational Research and Systems, Warwick Business SchoolVerified email at wbs.ac.uk
Yaochu JinChair Professor for AI, MAE FIEEE, Westlake University, ChinaVerified email at westlake.edu.cn
T ChughLecturer (Assistant Professor) in Computer Science, University of ExeterVerified email at exeter.ac.uk
Geyong MinUniversity of ExeterVerified email at exeter.ac.uk
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 FultonProfessor, Newcastle UniversityVerified email at ncl.ac.uk
Thomas P HowardNewcastle UniversityVerified email at newcastle.ac.uk

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	460	2002
A MOPSO algorithm based exclusively on Pareto dominance concepts J Alvarez-Benitez, R Everson, J Fieldsend Evolutionary Multi-Criterion Optimization, 459-473, 2005	410	2005
Using unconstrained elite archives for multiobjective optimization JE Fieldsend, RM Everson, S Singh Evolutionary Computation, IEEE Transactions on 7 (3), 305-323, 2003	312	2003
A framework of fog computing: Architecture, challenges, and optimization Y Liu, JE Fieldsend, G Min IEEE Access 5, 25445-25454, 2017	260	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	203	2008
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	151	2013
Multi-class ROC analysis from a multi-objective optimisation perspective RM Everson, JE Fieldsend Pattern Recognition Letters 27 (8), 918-927, 2006	148	2006
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	141	2004
Pareto evolutionary neural networks JE Fieldsend, S Singh IEEE Transactions on Neural Networks 16 (2), 338-354, 2005	127	2005
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	122	2021
Multi-objective optimisation in the presence of uncertainty JE Fieldsend, RM Everson 2005 IEEE Congress on Evolutionary Computation 1, 243-250, 2005	113	2005
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	112	2021
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	106	2014
Cardinality constrained portfolio optimisation JE Fieldsend, J Matatko, M Peng Intelligent Data Engineering and Automated Learning–IDEAL 2004: 5th …, 2004	106	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	93	2000
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	89	2007
Full elite sets for multi-objective optimisation RM Everson, JE Fieldsend, S Singh Adaptive Computing in Design and Manufacture V, 343-354, 2002	89	2002
Multi-objective particle swarm optimisation methods JE Fieldsend University of Exeter, 2004	84	2004
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	77	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	72	2015

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