| 2026 | GECCO | Multi-objective Local Optima Networks based on Decomposition. | Gabriela Ochoa, Quentin Renau, Arnaud Liefooghe, Jonathan E. Fieldsend |
| 2026 | PPSN | From Networks to Landscapes: Sampling and Topographic Visualisation of Continuous LONs. | Quentin Renau, Gabriela Ochoa, Arnaud Liefooghe, Jonathan E. Fieldsend |
| 2025 | GECCO | Local Optima Networks for Constrained Search Spaces. | Jonathan E. Fieldsend, Arnaud Liefooghe, Katherine M. Malan, Sbastien Vrel |
| 2025 | GECCO | Performance Benchmarking of Multi-Objective Surrogate-Assisted Evolutionary Algorithms on a Novel Computational Fluid Dynamics Test Case. | Ben Moore, Andrew Roberts, Daniel Jarman, Alma Rahat, Jonathan E. Fieldsend, Gavin R. Tabor |
| 2024 | GECCO | New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. | Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis |
| 2024 | GECCO | Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. | Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis |
| 2024 | IJCAI | PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. | Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan |
| 2023 | EMO | Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. | Arnaud Liefooghe, Sbastien Vrel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2023 | GECCO | Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling. | James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell |
| 2022 | GECCO | Guiding surrogate-assisted multi-objective optimisation with decision maker preferences. | Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend |
| 2022 | PPSN | Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. | Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2021 | CEC | Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. | Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend |
| 2021 | GECCO | How Bayesian should Bayesian optimisation be? | George De Ath, Richard M. Everson, Jonathan E. Fieldsend |
| 2021 | GECCO | Towards population-based fitness landscape analysis using local optima networks. | Melike D. Karatas, Ozgur E. Akman, Jonathan E. Fieldsend |
| 2021 | GECCO | Learning assignment order in an ant colony optimiser for the university course timetabling problem. | James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell |
| 2021 | UAI | Asynchronous ε-Greedy Bayesian Optimisation. | George De Ath, Richard M. Everson, Jonathan E. Fieldsend |
| 2020 | GECCO | ϵ-shotgun: ϵ-greedy batch bayesian optimisation. | George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat |
| 2020 | GECCO | What do you mean?: the role of the mean function in bayesian optimisation. | George De Ath, Jonathan E. Fieldsend, Richard M. Everson |
| 2020 | GECCO | Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances. | Jonathan E. Fieldsend |
| 2019 | GECCO | Landscape analysis under measurement error. | Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend |
| 2019 | GECCO | Efficient real-time hypervolume estimation with monotonically reducing error. | Jonathan E. Fieldsend |
| 2019 | GECCO | Visualising the landscape of multi-objective problems using local optima networks. | Jonathan E. Fieldsend, Khulood AlYahya |
| 2019 | GECCO | A feature rich distance-based many-objective visualisable test problem generator. | Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen |
| 2018 | GECCO | Robust multi-modal optimisation. | Khulood AlYahya, Kevin Anthony James Doherty, Ozgur E. Akman, Jonathan E. Fieldsend |
| 2018 | GECCO | Voronoi-based archive sampling for robust optimisation. | Kevin Anthony James Doherty, Khulood AlYahya, Jonathan E. Fieldsend, Ozgur E. Akman |
| 2018 | GECCO | Computationally efficient local optima network construction. | Jonathan E. Fieldsend |
| 2018 | PPSN | A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics. | Steven J. Daniels, Alma As-Aad Mohammad Rahat, Richard M. Everson, Gavin R. Tabor, Jonathan E. Fieldsend |
| 2017 | GECCO | On the exploitation of search history and accumulative sampling in robust optimisation. | Khulood AlYahya, Kevin Anthony James Doherty, Jonathan E. Fieldsend, Ozgur E. Akman |
| 2017 | GECCO | Constraint handling in efficient global optimization. | Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jrgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya |
| 2017 | GECCO | Optimisation and landscape analysis of computational biology models: a case study. | Kevin Anthony James Doherty, Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend |
| 2017 | GECCO | University staff teaching allocation: formulating and optimising a many-objective problem. | Jonathan E. Fieldsend |
| 2017 | GECCO | Alternative infill strategies for expensive multi-objective optimisation. | Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend |
| 2016 | GECCO | Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems. | Jonathan E. Fieldsend |
| 2016 | GECCO | Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. | Alma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang |
| 2016 | GECCO | Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. | David J. Walker, Jonathan E. Fieldsend, Richard M. Everson |
| 2015 | EMO | Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation. | Jonathan E. Fieldsend |
| 2015 | GECCO | Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming. | Jonathan E. Fieldsend, Alberto Moraglio |
| 2014 | CEC | Running Up Those Hills: Multi-modal search with the niching migratory multi-swarm optimiser. | Jonathan E. Fieldsend |
| 2014 | GECCO | Efficiently identifying pareto solutions when objective values change. | Jonathan E. Fieldsend, Richard M. Everson |
| 2014 | GECCO | Multi-objective routing optimisation for battery-powered wireless sensor mesh networks. | Alma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend |
| 2013 | EMO | Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots. | Jonathan E. Fieldsend, Richard M. Everson |
| 2013 | GECCO | Edges of mutually non-dominating sets. | Richard M. Everson, David J. Walker, Jonathan E. Fieldsend |
| 2012 | GECCO | Visualising many-objective populations. | David J. Walker, Jonathan E. Fieldsend, Richard M. Everson |
| 2011 | GECCO | Rank-based dimension reduction for many-criteria populations. | David J. Walker, Richard M. Everson, Jonathan E. Fieldsend |
| 2010 | CEC | Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert. | William J. Reckhouse, Jonathan E. Fieldsend, Richard M. Everson |
| 2010 | CEC | Visualisation and ordering of many-objective populations. | David J. Walker, Richard M. Everson, Jonathan E. Fieldsend |
| 2010 | IJCNN | A Bayesian framework for active learning. | Richard Fredlund, Richard M. Everson, Jonathan E. Fieldsend |
| 2008 | CEC | On the efficient use of uncertainty when performing expensive ROC optimisation. | Jonathan E. Fieldsend, Richard M. Everson |
| 2006 | ICAISC | Interpretability of Bayesian Decision Trees Induced from Trauma Data. | Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey |
| 2005 | CEC | Multi-objective optimisation in the presence of uncertainty. | Jonathan E. Fieldsend, Richard M. Everson |
| 2005 | EMO | A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts. | Julio E. Alvarez-Benitez, Richard M. Everson, Jonathan E. Fieldsend |
| 2004 | CEC | Dominance measures for multi-objective simulated annealing. | Kevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend |
| 2004 | IDEAL | A Variable Metric Probabilistic k-Nearest-Neighbours Classifier. | Richard M. Everson, Jonathan E. Fieldsend |
| 2004 | IDEAL | Cardinality Constrained Portfolio Optimisation. | Jonathan E. Fieldsend, John Matatko, Ming Peng |
| 2004 | IDEAL | Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. | Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernndez |
| 2000 | IJCNN | Identification of Masses in Digital Mammograms with MLP and RBF Nets. | Keir Bovis, Sameer Singh, Jonathan E. Fieldsend, Chris Pinder |