Folgen
Jonathan Fieldsend
Jonathan Fieldsend
Professor of Computational Intelligence, Department of Computer Science, University of Exeter
Bestätigte E-Mail-Adresse bei exeter.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
4602002
A MOPSO algorithm based exclusively on Pareto dominance concepts
J Alvarez-Benitez, R Everson, J Fieldsend
Evolutionary Multi-Criterion Optimization, 459-473, 2005
4012005
Using unconstrained elite archives for multiobjective optimization
JE Fieldsend, RM Everson, S Singh
Evolutionary Computation, IEEE Transactions on 7 (3), 305-323, 2003
2972003
A framework of fog computing: Architecture, challenges, and optimization
Y Liu, JE Fieldsend, G Min
IEEE Access 5, 25445-25454, 2017
2352017
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
2002008
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
1452013
Multi-class ROC analysis from a multi-objective optimisation perspective
RM Everson, JE Fieldsend
Pattern Recognition Letters 27 (8), 918-927, 2006
1442006
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
1372004
Pareto evolutionary neural networks
JE Fieldsend, S Singh
IEEE Transactions on Neural Networks 16 (2), 338-354, 2005
1282005
Multi-objective optimisation in the presence of uncertainty
JE Fieldsend, RM Everson
2005 IEEE Congress on Evolutionary Computation 1, 243-250, 2005
1092005
Cardinality constrained portfolio optimisation
JE Fieldsend, J Matatko, M Peng
Intelligent Data Engineering and Automated Learning–IDEAL 2004: 5th …, 2004
1012004
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
922021
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
922000
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
912014
Full elite sets for multi-objective optimisation
RM Everson, JE Fieldsend, S Singh
Adaptive Computing in Design and Manufacture V, 343-354, 2002
902002
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
862007
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
852021
Multi-objective particle swarm optimisation methods
JE Fieldsend
University of Exeter, 2004
852004
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
752006
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
682015
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20