Jonathan E. Fieldsend
Orcid: 0000-0002-0683-2583Affiliations:
- University of Exeter, UK
According to our database1,
Jonathan E. Fieldsend
authored at least 108 papers
between 2000 and 2024.
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Bibliography
2024
ACM Trans. Evol. Learn. Optim., June, 2024
Mach. Learn., April, 2024
Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
2023
Data-driven plasma modelling: surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders.
Mach. Learn. Sci. Technol., September, 2023
ACM Trans. Evol. Learn. Optim., June, 2023
Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023
Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
2022
IEEE Trans. Evol. Comput., 2022
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Guiding surrogate-assisted multi-objective optimisation with decision maker preferences.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Artificial Evolution, 2022
Proceedings of the Artificial Evolution, 2022
2021
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021
ACM Trans. Evol. Learn. Optim., 2021
IEEE Trans. Evol. Comput., 2021
Non-dominated sorting on performance indicators for evolutionary many-objective optimization.
Inf. Sci., 2021
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, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Learning assignment order in an ant colony optimiser for the university course timetabling problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Applications of Evolutionary Computation, 2021
Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
CoRR, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
IEEE Access, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
University staff teaching allocation: formulating and optimising a many-objective problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
On the exploitation of search history and accumulative sampling in robust optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks.
Ad Hoc Networks, 2016
Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems.
IEEE Trans. Evol. Comput., 2015
Using an adaptive collection of local evolutionary algorithms for multi-modal problems.
Soft Comput., 2015
Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks.
Evol. Comput., 2015
Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
2014
Evol. Comput., 2014
Multi-objective routing optimisation for battery-powered wireless sensor mesh networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Running Up Those Hills: Multi-modal search with the niching migratory multi-swarm optimiser.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
IEEE Trans. Evol. Comput., 2013
Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
On the effect of selection and archiving operators in many-objective particle swarm optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems
CoRR, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the Multiobjective Problem Solving from Nature, 2008
2007
Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data.
Proceedings of the Perception-based Data Mining and Decision Making in Economics and Finance, 2007
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications.
IEEE Trans. Inf. Technol. Biomed., 2007
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases.
Neural Comput. Appl., 2007
2006
Proceedings of the Multi-Objective Machine Learning, 2006
Proceedings of the Multi-Objective Machine Learning, 2006
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006
Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert.
IEEE Trans. Evol. Comput., 2006
Pattern Recognit. Lett., 2006
Pattern Recognit., 2006
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique.
J. Math. Model. Algorithms, 2006
Proceedings of the Developments in Risk-based Approaches to Safety, 2006
Proceedings of the Developments in Risk-based Approaches to Safety, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2005
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
CoRR, 2005
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Precision and Recall Optimisation for Information Access Tasks.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004
ROC Optimisation of Safety Related Systems.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
Novel algorithms for multi-objective search and their application in multi-objective evolutionary neural network training.
PhD thesis, 2003
IEEE Trans. Evol. Comput., 2003
2001
Proceedings of the Advances in Pattern Recognition, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Financial time series forecasts using fuzzy and long memory pattern recognition systems.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000