Jonathan E. Fieldsend

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 59

Top Venues

University of Exeter, Devon, UK (PHD)

Education History

University of Exeter, Devon, UK

PHD

Publications

Melike D. Karatas, Marc Goodfellow, Jonathan E. Fieldsend
Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations. SSCI (2023)
Jonathan E. Fieldsend, Markus Wagner
Editorial to the "Best of GECCO 2022" Special Issue: Part I. ACM Trans. Evol. Learn. Optim. 3 (2) (2023)
Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. EMO (2023)
James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell
Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling. GECCO Companion (2023)
Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations. CoRR (2022)
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. CoRR (2022)
Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking. CoRR (2022)
Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend
PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations. ECML/PKDD (3) (2022)
Jonathan E. Fieldsend
On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation. EA (2022)
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. PPSN (1) (2022)
Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
Optimising Diversity in Classifier Ensembles. SN Comput. Sci. 3 (3) (2022)
James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell
Towards a Many-Objective Optimiser for University Course Timetabling. EA (2022)
Gregory A. Daly, Jonathan E. Fieldsend, Gavin R. Tabor
Variational Autoencoders Without the Variation. CoRR (2022)
Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. GECCO (2022)
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Trans. Evol. Comput. 26 (1) (2022)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
How Bayesian should Bayesian optimisation be? GECCO Companion (2021)
P. J. Watson, Jonathan E. Fieldsend, V. H. Stiles
A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport. Int. J. Comput. Sci. Sport 20 (2) (2021)
Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend
Optimising Diversity in Classifier Ensembles of Classification Trees. EvoApplications (2021)
Shufen Qin, Chaoli Sun, Yaochu Jin, Ying Tan, Jonathan E. Fieldsend
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. IEEE Trans. Evol. Comput. 25 (4) (2021)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
Asynchronous ε-Greedy Bayesian Optimisation. UAI (2021)
Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend
Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. CEC (2021)
James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell
Learning assignment order in an ant colony optimiser for the university course timetabling problem. GECCO Companion (2021)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
How Bayesian Should Bayesian Optimisation Be? CoRR (2021)
Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan E. Fieldsend, Yaochu Jin
Non-dominated sorting on performance indicators for evolutionary many-objective optimization. Inf. Sci. 551 (2021)
George De Ath, Richard M. Everson, Alma As-Aad Rahat, Jonathan E. Fieldsend
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. ACM Trans. Evol. Learn. Optim. 1 (1) (2021)
Melike D. Karatas, Ozgur E. Akman, Jonathan E. Fieldsend
Towards population-based fitness landscape analysis using local optima networks. GECCO Companion (2021)
George De Ath, Jonathan E. Fieldsend, Richard M. Everson
What do you mean?: the role of the mean function in bayesian optimisation. GECCO Companion (2020)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
ε-shotgun: ε-greedy Batch Bayesian Optimisation. CoRR (2020)
Jonathan E. Fieldsend
Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances. GECCO (2020)
George De Ath, Jonathan E. Fieldsend, Richard M. Everson
What do you Mean? The Role of the Mean Function in Bayesian Optimisation. CoRR (2020)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
ϵ-shotgun: ϵ-greedy batch bayesian optimisation. GECCO (2020)
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
Asynchronous ε-Greedy Bayesian Optimisation. CoRR (2020)
Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend
Landscape analysis under measurement error. GECCO (Companion) (2019)
Nicholas D. Sanders, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat
A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions. CoRR (2019)
George De Ath, Richard M. Everson, Alma As-Aad Mohammad Rahat, Jonathan E. Fieldsend
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. CoRR (2019)
Jonathan E. Fieldsend, Khulood AlYahya
Visualising the landscape of multi-objective problems using local optima networks. GECCO (Companion) (2019)
Amjad A. Alsuwaylimi, Jonathan E. Fieldsend
A New Initialisation Method for Examination Timetabling Heuristics. SSCI (2019)
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
A feature rich distance-based many-objective visualisable test problem generator. GECCO (2019)
Jonathan E. Fieldsend
Efficient real-time hypervolume estimation with monotonically reducing error. GECCO (2019)
Abdulaziz T. Almutairi, Jonathan E. Fieldsend
Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms. SSCI (2019)
Kevin Anthony James Doherty, Khulood AlYahya, Jonathan E. Fieldsend, Ozgur E. Akman
Voronoi-based archive sampling for robust optimisation. GECCO (Companion) (2018)
Jonathan E. Fieldsend
Computationally efficient local optima network construction. GECCO (Companion) (2018)
Khulood AlYahya, Kevin Anthony James Doherty, Ozgur E. Akman, Jonathan E. Fieldsend
Robust multi-modal optimisation. GECCO (Companion) (2018)
Steven J. Daniels, Alma As-Aad Mohammad Rahat, Richard M. Everson, Gavin R. Tabor, Jonathan E. Fieldsend
A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics. PPSN (2) (2018)
Yang Liu, Jonathan E. Fieldsend, Geyong Min
A Framework of Fog Computing: Architecture, Challenges, and Optimization. IEEE Access 5 (2017)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Alternative infill strategies for expensive multi-objective optimisation. GECCO (2017)
Kevin Anthony James Doherty, Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend
Optimisation and landscape analysis of computational biology models: a case study. GECCO (Companion) (2017)
Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya
Constraint handling in efficient global optimization. GECCO (2017)
Jonathan E. Fieldsend
University staff teaching allocation: formulating and optimising a many-objective problem. GECCO (2017)
Khulood AlYahya, Kevin Anthony James Doherty, Jonathan E. Fieldsend, Ozgur E. Akman
On the exploitation of search history and accumulative sampling in robust optimisation. GECCO (Companion) (2017)
David J. Walker, Jonathan E. Fieldsend, Richard M. Everson
Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. GECCO (Companion) (2016)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks. Ad Hoc Networks 52 (2016)
Jonathan E. Fieldsend
Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems. GECCO (Companion) (2016)
Alma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang
Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. GECCO (Companion) (2016)
Jonathan E. Fieldsend
Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation. EMO (2) (2015)
Jonathan E. Fieldsend, Alberto Moraglio
Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming. GECCO (2015)
Jonathan E. Fieldsend, Richard M. Everson
The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems. IEEE Trans. Evol. Comput. 19 (1) (2015)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks. Evol. Comput. 23 (3) (2015)
Jonathan E. Fieldsend
Using an adaptive collection of local evolutionary algorithms for multi-modal problems. Soft Comput. 19 (6) (2015)
Jonathan E. Fieldsend, Richard M. Everson
Efficiently identifying pareto solutions when objective values change. GECCO (2014)
Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend
Multi-objective routing optimisation for battery-powered wireless sensor mesh networks. GECCO (2014)
Jonathan E. Fieldsend
Running Up Those Hills: Multi-modal search with the niching migratory multi-swarm optimiser. IEEE Congress on Evolutionary Computation (2014)
Richard M. Everson, David J. Walker, Jonathan E. Fieldsend
Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets. Evol. Comput. 22 (3) (2014)
Richard M. Everson, David J. Walker, Jonathan E. Fieldsend
Edges of mutually non-dominating sets. GECCO (2013)
Jonathan E. Fieldsend
Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm. UKCI (2013)
David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization. IEEE Trans. Evol. Comput. 17 (2) (2013)
Jonathan E. Fieldsend, Richard M. Everson
Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots. EMO (2013)
David J. Walker, Jonathan E. Fieldsend, Richard M. Everson
Visualising many-objective populations. GECCO (Companion) (2012)
David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
Rank-based dimension reduction for many-criteria populations. GECCO (Companion) (2011)
Richard Fredlund, Richard M. Everson, Jonathan E. Fieldsend
A Bayesian framework for active learning. IJCNN (2010)
William J. Reckhouse, Jonathan E. Fieldsend, Richard M. Everson
Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert. IEEE Congress on Evolutionary Computation (2010)
David J. Walker, Richard M. Everson, Jonathan E. Fieldsend
Visualisation and ordering of many-objective populations. IEEE Congress on Evolutionary Computation (2010)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems CoRR (2010)
Jonathan E. Fieldsend, Richard M. Everson
On the efficient use of uncertainty when performing expensive ROC optimisation. IEEE Congress on Evolutionary Computation (2008)
Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend, Chris Murphy, Rashmi Misra
Dominance-Based Multiobjective Simulated Annealing. IEEE Trans. Evol. Comput. 12 (3) (2008)
Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Neural Comput. Appl. 16 (1) (2007)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. 11 (3) (2007)
Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernandez, Wojtek J. Krzanowski, Vitaly Schetinin
Classification with Confidence for Critical Systems. SSS (2006)
Richard M. Everson, Jonathan E. Fieldsend
Multi-class ROC analysis from a multi-objective optimisation perspective. Pattern Recognit. Lett. 27 (8) (2006)
Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernandez
Optimising Data-Driven Safety Related Systems. SSS (2006)
Jovisa D. Zunic, Lazar Kopanja, Jonathan E. Fieldsend
Notes on shape orientation where the standard method does not work. Pattern Recognit. 39 (5) (2006)
Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin
Confidence in Classification: A Bayesian Approach. J. Classif. 23 (2) (2006)
Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey
Interpretability of Bayesian Decision Trees Induced from Trauma Data. ICAISC (2006)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms 5 (4) (2006)
Richard M. Everson, Jonathan E. Fieldsend
Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert. IEEE Trans. Evol. Comput. 10 (2) (2006)
Julio E. Alvarez-Benitez, Richard M. Everson, Jonathan E. Fieldsend
A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts. EMO (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data CoRR (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique CoRR (2005)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles CoRR (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
The Bayesian Decision Tree Technique with a Sweeping Strategy CoRR (2005)
Jonathan E. Fieldsend, Sameer Singh
Pareto evolutionary neural networks. IEEE Trans. Neural Networks 16 (2) (2005)
Jonathan E. Fieldsend, Richard M. Everson
Multi-objective optimisation in the presence of uncertainty. Congress on Evolutionary Computation (2005)
Jonathan E. Fieldsend, Richard M. Everson
ROC Optimisation of Safety Related Systems. ROCAI (2004)
Jonathan E. Fieldsend, John Matatko, Ming Peng
Cardinality Constrained Portfolio Optimisation. IDEAL (2004)
Richard M. Everson, Jonathan E. Fieldsend
A Variable Metric Probabilistic k-Nearest-Neighbours Classifier. IDEAL (2004)
Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend
Dominance measures for multi-objective simulated annealing. IEEE Congress on Evolutionary Computation (2004)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL (2004)
Michelle Jayne Fisher, Jonathan E. Fieldsend, Richard M. Everson
Precision and Recall Optimisation for Information Access Tasks. ROCAI (2004)
Jonathan E. Fieldsend, Richard M. Everson, Sameer Singh
Using unconstrained elite archives for multiobjective optimization. IEEE Trans. Evol. Comput. 7 (3) (2003)
Sameer Singh, Jonathan E. Fieldsend
Pattern Matching and Neural Networks Based Hybrid Forecasting System. ICAPR (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jonathan E. Fieldsend