Overview

Office: Innovation Centre Phase 1, Room 1

Bio

I am Professor of Computational Intelligence, Director of Research & Impact, and Academic Lead of the Optimisation Group in the Department of Computer Science. I am also Turing Fellow.

I graduated with a BA in Economics from the University of Durham in 1998, an MSc in Computational Intelligence from the University of Plymouth in 1999 and a PhD in Computer Science from the University of Exeter in 2003. Following which I held postdoctoral research positions before starting as Lecturer at Exeter in 2006.

My research has been supported by a number of grants, with funders including EPSRC, Innovate UK, NERC, and industy. I am currently an Associate Editor of ACM Transactions on Evolutionary Learning and Optimization and IEEE Transactions on Evolutionary Computation. I am a vice-chair of the IEEE Computational Intelligence Society Task Force on Data-Driven Evolutionary Optimization of Expensive Problems and also vice-chair of the IEEE Computational Intelligence Society Task Force on Multi-Modal Optimization. I was also co-Chair of the EMO Track at GECCO 2019 and GECCO 2020, and Editor-in-Chief of GECCO 2022.

Most of my codebase relating to my recent publications is available on GitHub. Please access the repositories here.

Research and Professional Interests

My main areas of research are: developing multi-objective objective optimisation methods, multi-modal optimisation, optimisation with uncertainty, evolutionary approaches to learning, data visualisation, as well as the use of Bayesian classification/modelling techniques.

Previous industrial projects I've worked on include:

• Automatic Coverage and Capacity Optimisation for Next Generation Access Technology (with Motorola),
• Optimisation of Fraud Detection Software (with AI corp), 
• Automated Multi-Objective Optimisation of Short Term Alert Safety Net Systems (with NATS)
• Multi-Objective Optimisation of Wireless Mesh Networks (including resource allocation, and interactive visualisation tools) with IMC group.
• Data-Driven Surrogate-Assited Fluid Dynamic Optimisation, which involved collaboration with the UK Aerospace Technology Institute and QinetiQ on complex aerodynamic optimisation, with Hydro International on cyclone separation and with Ricardo on diesel particle tracking.
• MASS modelling and optimisation (with the MET office)
• Calibration of digital twin models for buildings and road networks (with City Science and Hoare Lea)
• Human centric buildings for a carbon neutral future (with City Science)

Current industry projects include:

• Bayesian optimisation for product design (with Hydro International) 
• Computational modelling and optimisation of plasma processes (with Oxford Instruments Plasma Technology)

Citation stats: h-index: 27 and i10-index: 58 according to Google scholar. 

Open Positions

I do not currently have any open post-doctoral posititions in my group, but I welcome contact from potential PhD students who want to persue a programme of research in the areas of multi-objective optimisation, evolutionary computation and machine learning.

Teaching

I am coordinator and lecturer of the following module:

COMM510 Multi-Objective Optimisation and Decision Making

I am interested in supervising postgraduate students with projects in the broad area of Nature Inspired Computation and Machine Learning. Please apply via the university online portal.

Recent news

November 2022 - Joined the programme committee of GECCO 2023

October 2022 - Presented work on using the ND-Tree for maintaining an active archive (source of parents) at EA2022

October 2022 - Invited as a participant at the workshop on Multiobjective Optimization on a Budget at Schloss Dagstuhl – Leibniz-Zentrum für Informatik in Germany, September 2023

September 2022 - Joined programme comittee of EMO 2023

July 2022 - GECCO 2022: first hybrid GECCO, and largest number of attendees of any GECCO so far (just shy of 1000). Benefited greatly from a fantastic team!

October 2021 - Appointed as Turing Fellow for the coming year

April 2021 - "Multi-objective Bayesian optimisation using an exploitative attainment front acquisition function" accepted for as a full paper in IEEE Congress on Evolutionary Computation, with Finley Gibson and Richard Everson

April 2021 - "Towards Population-based Fitness Landscape Analysis Using Local Optima Networks" accepted for as a full paper in the Landscape Aware Heuristic Search Workshop of ACM GECCO, with Melike Karatas and Ozgur Akman

April 2021 - "How Bayesian Should Bayesian Optimisation Be?" accepted as a full paper to the SAEOpt Workshop in ACM GECCO, with Geaorge De Ath and Richard Everson

Feb 2021 - Joined the Program Committee of the MCDM symposium at IEEE SSCI 2021

Feb 2021 - Joined the Program Commitee of IEEE CEC 2021

Feb 2021 - Appointed as an Associate Editor of IEEE Transactions on Evolutionary Computation

Dec 2020 - Joined the Program Comittee of GECCO 2021

Dec 2020 - SAEOpt Workshop confirmed for GECCO 2021, co-organising with Richard Everson (Exeter), Alma Rahat (Swansea), Yaochu Jin (Surrey) and Handing Wang (Xidian) 

Dec 2020 - EAPwU Workshop confirmed for GECCO 2021, co-organising with Khulood Alyahya (Exeter), Tinkle Chugh (Exerter) and Juergen Branke (Warwick)

Dec 2020 - Competition on Niching Methods for Multimodal Optimization confirmed for GECCO 2021, co-organising with Michael Epitropakis (Lancaster), Xiaodong Li (RMIT) and Mike Preuss (Lieden)

Nov 2020 - Non-dominated Sorting on Performance Indicators for Evolutionary Many-objective Optimization, by Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan Fieldsend and Yaochu Jin, accepted for publication in Information Sciences. 

Qualifications: BA Economics (Dunelm), MSc Computational Intelligence (Plym), PhD Computer Science (Exon)

Professional memberships: MIEEE, FHEA

Patents: A method of selecting operational parameters in a communication network EP1730980 WO2005091948 GB2412275

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Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| To Appear | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | Patents |

To Appear

• Fieldsend J, Chugh T, Allmendinger R, Miettinen K. A Visualizable Test Problem Generator for Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, DOI:10.1109/TEVC.2021.3084119.

2024

• Roberts AP, Rahat AA-AM, Jarman DS, Fieldsend JE, Tabor GR. (2024) Shape optimisation of a hydrodynamic separator using expensive and constrained multi-objective computational modelling, DOI:10.21203/rs.3.rs-4042854/v1.

2023

• Karatas MD, Goodfellow M, Fieldsend JE. (2023) Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), DOI:10.1109/ssci52147.2023.10371950.
• Sakal J, Fieldsend J, Keedwell E. (2023) Towards a Many-Objective Optimiser for University Course Timetabling, Artificial Evolution, Springer Nature, 133-144, DOI:10.1007/978-3-031-42616-2_10.
• Fieldsend J, Wagner M. (2023) Editorial to the “Best of GECCO 2022” Special Issue: Part I, ACM Transactions on Evolutionary Learning and Optimization, volume 3, no. 2, pages 1-2, DOI:10.1145/3606034.
• Sakal J, Fieldsend J, Keedwell E. (2023) Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling, Proceedings of the Companion Conference on Genetic and Evolutionary Computation, DOI:10.1145/3583133.3596334.
• Afsar B, Fieldsend JE, Guerreiro AP, Miettinen K, Rojas Gonzalez S, Sato H. (2023) Many-Objective Quality Measures, Many-Criteria Optimization and Decision Analysis, Springer Nature, 113-148, DOI:10.1007/978-3-031-25263-1_5.
• Daly GA, Fieldsend JE, Hassall G, Tabor G. (2023) Data-driven plasma modelling: Surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders. [PDF]
• Liefooghe A, Verel S, Chugh T, Fieldsend J, Allmendinger R, Miettinen K. (2023) Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective, Lecture Notes in Computer Science, Springer Nature Switzerland, 260-273, DOI:10.1007/978-3-031-27250-9_19. [PDF]
• Fieldsend J, Wagner M. (2023) GECCO 2022, ACM SIGEVOlution, volume 15, no. 4, pages 1-5, DOI:10.1145/3584367.3584368.

2022

• Fieldsend J. (2022) On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation, Artificial Evolution 2022, Exeter, Uk, 31st Oct - 2nd Nov 2022, Lecture Notes in Computer Science.
• Wagner M, Fieldsend J. (2022) Welcome, GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference.
• Wagner M, Fieldsend J. (2022) Welcome, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference.
• Chen Y, Haywood J, Wang Y, Malavelle F, Jordan G, Partridge D, Fieldsend J, De Leeuw J, Schmidt A, Cho N. (2022) Publisher Correction: Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover, Nature Geoscience, volume 15, no. 10, pages 854-854, DOI:10.1038/s41561-022-01027-9. [PDF]
• Gibson FJ, Everson RM, Fieldsend JE. (2022) Guiding surrogate-assisted multi-objective optimisation with decision maker preferences, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 786-795, DOI:10.1145/3512290.3528814.
• Yin X, Ruan W, Fieldsend J. (2022) DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking. [PDF]
• Zhang T, Ruan W, Fieldsend J. (2022) PRoA: A Probabilistic Robustness Assessment against Functional Perturbations, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Grenoble, France, 19th - 23rd Sep 2022, Springer’s Lecture Notes in Computer Science Series.
• Rahat A, Chugh T, Fieldsend J, Allmendinger R, Miettinen K. (2022) Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature, Parallel Problem Solving from Nature (PPSN), Dortmund, Germany, 10th - 14th Sep 2022.
• Ivaşcu C, Everson RM, Fieldsend JE. (2022) Optimising Diversity in Classifier Ensembles, SN Computer Science, volume 3, no. 3, DOI:10.1007/s42979-022-01063-7.
• Daly GA, Fieldsend JE, Tabor G. (2022) Variational Autoencoders Without the Variation. [PDF]

2021

• Banks AM, Whitfield CJ, Brown SR, Fulton DA, Goodchild SA, Grant C, Love J, Lendrem DW, Fieldsend JE, Howard TP. (2021) Key reaction components affect the kinetics and performance robustness of cell-free protein synthesis reactions, Computational and Structural Biotechnology Journal, volume 20, pages 218-229, DOI:10.1016/j.csbj.2021.12.013.
• Watson PJ, Fieldsend JE, Stiles VH. (2021) A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport, International Journal of Computer Science in Sport, volume 20, no. 2, pages 175-197, DOI:10.2478/ijcss-2021-0011. [PDF]
• Fieldsend JE. (2021) Representation, Resolution, and Visualization in Multimodal Optimization, Metaheuristics for Finding Multiple Solutions, Springer, 27-55, DOI:10.1007/978-3-030-79553-5_2.
• Alyahya K, Doherty K, Akman OE, Fieldsend JE. (2021) Reduced Models of Gene Regulatory Networks: Visualising Multi-modal Landscapes, Metaheuristics for Finding Multiple Solutions, Springer, 229-258, DOI:10.1007/978-3-030-79553-5_10.
• Preuss M, Epitropakis M, Li X, Fieldsend JE. (2021) Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances, Metaheuristics for Finding Multiple Solutions, Springer, 1-26, DOI:10.1007/978-3-030-79553-5_1.
• Preuss M, Epitropakis MG, Li X, Fieldsend JE. (2021) Metaheuristics for Finding Multiple Solutions, Springer.
• De Ath G, Everson R, Fieldsend J. (2021) Asynchronous ε-Greedy Bayesian Optimisation, Uncertainty in Artificial Intelligence 2021, 27th - 30th Jul 2021, Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, volume 161, pages 578-588. [PDF]
• Karatas MD, Akman OE, Fieldsend JE. (2021) Towards population-based fitness landscape analysis using local optima networks, DOI:10.1145/3449726.3463170. [PDF]
• Gibson F, Everson R, Fieldsend J. (2021) Multi-objective Bayesian optimisation using an exploitative attainment front acquisition function, IEEE Congress on Evolutionary Computation, Kraków, Poland, 28th Jun - 1st Jul 2021.
• Ath GD, Everson RM, Fieldsend JE. (2021) How Bayesian should Bayesian optimisation be?, GECCO Companion, pages 1860-1869. [PDF]
• Sakal J, Fieldsend JE, Keedwell E. (2021) Learning assignment order in an ant colony optimiser for the university course timetabling problem, Proceedings of the Genetic and Evolutionary Computation Conference Companion, DOI:10.1145/3449726.3459534.
• Daniels SJ, Rahat AAM, Tabor GR, Fieldsend JE, Everson RM. (2021) Application of multi-objective Bayesian shape optimisation to a sharp-heeled Kaplan draft tube, Optimization and Engineering, DOI:10.1007/s11081-021-09602-6.
• Qin S, Sun C, Jin Y, Tan Y, Fieldsend J. (2021) Large-scale Evolutionary Multi-objective Optimization Assisted by Directed Sampling, IEEE Transactions on Evolutionary Computation, pages 1-15, DOI:10.1109/tevc.2021.3063606.
• Ivascu C, Fieldsend J, Everson R. (2021) Optimising diversity in classifier ensembles of classification trees, Applications of Evolutionary Computation. EvoApplications 2021, Seville, Spain, 7th - 9th Apr 2021, Lecture Notes in Computer Science, volume 12694, pages 634-648, DOI:10.1007/978-3-030-72699-7_40.
• Wang H, Sun C, Zhang G, Fieldsend JE, Jin Y. (2021) Non-dominated sorting on performance indicators for evolutionary many-objective optimization, Information Sciences, volume 551, pages 23-38, DOI:10.1016/j.ins.2020.11.008.
• De Ath G, Everson RM, Rahat AAM, Fieldsend JE. (2021) Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation, ACM Transactions on Evolutionary Learning and Optimization, volume 1, no. 1, pages 1-22, DOI:10.1145/3425501. [PDF]

2020

• Daniels SJ, Rahat AAM, Tabor GR, Fieldsend JE, Everson RM. (2020) Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics, Renewable Energy, volume 160, pages 112-126, DOI:10.1016/j.renene.2020.05.164.
• Akman OE, Fieldsend JE. (2020) Multi-objective optimisation of gene regulatory networks: Insights from a Boolean circadian clock model, EPiC Series in Computing, volume 70, pages 149-162, DOI:10.29007/bvbj.
• Whitfield CJ, Banks AM, Dura G, Love J, Fieldsend JE, Goodchild SA, Fulton DA, Howard TP. (2020) Cell-free protein synthesis in hydrogel materials, Chem Commun (Camb), volume 56, no. 52, pages 7108-7111, DOI:10.1039/d0cc02582h. [PDF]
• Fieldsend J. (2020) Data Structures for Non-Dominated Sets: Implementations and Empirical Assessment of Two Decades of Advances, Genetic and Evolutionary Computation Conference (GECCO ’20), Cancún, Mexico, 8th - 12th Jul 2020, DOI:10.1145/3377930.3390150.
• De Ath G, Fieldsend JE, Everson RM. (2020) What do you Mean? The Role of the Mean Function in Bayesian Optimisation, Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, 8th - 12th Jul 2020, Genetic and Evolutionary Computation Conference Companion (GECCO ’20 Companion), DOI:10.1145/3377929.3398118.
• De Ath G, Everson RM, Fieldsend J, Rahat A. (2020) ε-shotgun: ε-greedy Batch Bayesian Optimisation, Genetic and Evolutionary Computation Conference (GECCO ’20), Cancún, Mexico, 8th - 12th Jul 2020, Genetic and Evolutionary Computation Conference (GECCO ’20), pages 787-795, DOI:10.1145/3377930.3390154.

2019

• Sanders ND, Everson RM, Fieldsend JE, Rahat AAM. (2019) Bayesian Search for Robust Optima, DOI:10.48550/arxiv.1904.11416.
• Whitfield CJ, Banks AM, Dura G, Love J, Fieldsend JE, Goodchild SA, Fulton DA, Howard TP. (2019) Cell-free genetic devices confer autonomic and adaptive properties to hydrogels, DOI:10.1101/2019.12.12.872622.
• Daniels S, Rahat A, Tabor G, Fieldsend J, Everson R. (2019) A Review of Shape Distortion Methods Available in the OpenFOAM® Framework for Automated Design Optimisation, OPENFOAM(R), pages 389-399, DOI:10.1007/978-3-319-60846-4_28. [PDF]
• Hill YR, Fieldsend JE, Terry JR. (2019) P2439Reconstructing electrocardiograms from computational models of infarcted ventricles to determine the location of myocardial infarct scars based on features of the signal, European Heart Journal, volume 40, no. Supplement_1, DOI:10.1093/eurheartj/ehz748.0771. [PDF]
• Daniels SJ, Rahat AAM, Tabor GR, Fieldsend JE, Everson RM. (2019) Automated shape optimisation of a plane asymmetric diffuser using combined Computational Fluid Dynamic simulations and multi-objective Bayesian methodology, International Journal of Computational Fluid Dynamics, volume 33, no. 6-7, pages 256-271, DOI:10.1080/10618562.2019.1683165.
• Alsuwaylimi A, Fieldsend J. (2019) A New Initialisation Method for Examination Timetabling Heuristics, IEEE Symposium Series on Computational Intelligence, Xiamen, China, 6th - 9th Dec 2019, Proceedings of the IEEE Symposium Series on Computational Intelligence.
• Almutairi A, Fieldsend J. (2019) Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms, 2019 IEEE Symposium Series on Computational Intelligence, Xiamen, China, 6th - 9th Dec 2019.
• Sanders ND, Everson RM, Fieldsend JE, Rahat AAM. (2019) Bayesian Search for Robust Optima. [PDF]
• Alyahya K, Akman O, Fieldsend JE. (2019) Landscape Analysis Under Measurement Error, Genetic and Evolutionary Computation Conference Companion (GECCO), Prague, Czech Republic, 13th - 17th Jul 2019, Genetic and Evolutionary Computation Conference Companion (GECCO ’19 Companion), pages 1415-1418, DOI:10.1145/3319619.3326858.
• Fieldsend JE, Alyahya K. (2019) Visualising the Landscape of Multi-Objective Problems using Local Optima Networks, Genetic and Evolutionary Computation Conference (GECCO), Prague, Czech Republic, 13th - 17th Jul 2019, Genetic and Evolutionary Computation Conference Companion (GECCO ’19 Companion),, pages 1421-1429, DOI:10.1145/3319619.3326838.
• Fieldsend JE. (2019) Efficient Real-Time Hypervolume Estimation with Monotonically Reducing Error, Genetic and Evolutionary Computation Conference (GECCO ’19), Prague, 13th - 17th Jul 2019, DOI:10.1145/3321707.3321730.
• Fieldsend JE, Chugh T, Allmendinger R, Miettinen K. (2019) A Feature Rich Distance-Based Many-Objective Visualisable Test Problem Generator, Genetic and Evolutionary Computation Conference (GECCO ’19), Prague, 13th - 17th Jul 2019, DOI:10.1145/3321707.3321727.
• Fieldsend JE, Doherty K, Alyahya K, Akman O. (2019) Robust Optimisation using Voronoi-Based Archive Sampling, UQOP: Uncertainty Quantification & Optimization, Sorbonne University, Paris, France, 18th - 20th Mar 2019.

2018

• Rahat AAM, Wang C, Everson RM, Fieldsend JE. (2018) Data-driven multi-objective optimisation of coal-fired boiler combustion systems, Applied Energy, volume 229, pages 446-458, DOI:10.1016/j.apenergy.2018.07.101.
• Daniels S, Rahat AAM, Everson R, Tabor G, Fieldsend J. (2018) A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics, Parallel Problem Solving from Nature – PPSN XV, Coimbra, Portugal, 8th - 12th Sep 2018, DOI:10.1007/978-3-319-99259-4_24.
• Doherty K, Fieldsend JE, Alyahya K, Akman OE. (2018) Voronoi-based archive sampling for robust optimisation, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, pages 249-250, DOI:10.1145/3205651.3205768.
• Alyahya K, Akman OE, Doherty K, Fieldsend JE. (2018) Robust multi-modal optimisation, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, pages 1783-1790, DOI:10.1145/3205651.3208258.
• Fieldsend JE. (2018) Computationally efficient local optima network construction, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, pages 1481-1488, DOI:10.1145/3205651.3208263.

2017

• Liu Y, Fieldsend JE, Min G. (2017) A framework of fog computing: Architecture, challenges, and optimization, IEEE Access, volume 5, pages 25445-25454, DOI:10.1109/ACCESS.2017.2766923.
• Daniels SJ, Rahat A, Tabor G, Fieldsend J, Everson R. (2017) Automatic shape optimisation of the turbine-99 draft tube, 12th OpenFOAM Workshop, University Of Exeter, Devon, Uk, 24th - 27th Jul 2017.
• Doherty K, Alyahya K, Akman OE, Fieldsend JE. (2017) Optimisation and Landscape Analysis of Computational Biology Models: A Case Study, Genetic and Evolutionary Computation Conference, Companion Proceedings, Berlin, Germany, 15th - 19th Jul 2017, DOI:10.1145/3067695.3084609.
• Alyahya K, Doherty K, Fieldsend JE, Akman OE. (2017) On the Exploitation of Search History and Accumulative Sampling in Robust Optimisation, Genetic and Evolutionary Computation Conference (GECCO), Companion Publication, Berlin, 15th - 19th Jul 2017, DOI:10.1145/3067695.3076060.
• Fieldsend JE. (2017) University Staff€ Teaching Allocation: Formulating and Optimising a Many-Objective Problem, Genetic and Evolutionary Computation Conference (GECCO), Berlin, 15th - 19th Jul 2017, DOI:10.1145/3071178.3071230.
• Rahat AAM, Everson RM, Fieldsend JE. (2017) Alternative Infill Strategies for Expensive Multi-Objective Optimisation, Genetic and Evolutionary Computation Conference (GECCO), Berlin, 15th - 19th Jul 2017, DOI:10.1145/3071178.3071276.
• Bagheri S, Konen W, Allmendinger R, Branke J, Deb K, Fieldsend JE, Quagliarella D, Sindhya K. (2017) Constraint Handling in Efficient Global Optimization, Genetic and Evolutionary Computation Conference (GECCO), Berlin, 15th - 19th Jul 2017, DOI:10.1145/3071178.3071278.

2016

• Daniels SJ, Rahat A, Tabor G, Fieldsend J, Everson R. (2016) Shape optimisation using Computational Fluid Dynamics and Evolutionary Algorithms, 11th OpenFOAM Workshop, Vila Flor Cultural Centre, Guimarães, Portugal, 26th - 30th Jun 2016.
• Walker D, Fieldsend J, Everson R. (2016) Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) chairs' welcome & organization, GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, DOI:10.1145/2908961.2931743.
• Rahat A, Everson R, Fieldsend J, Jin Y, Wang H. (2016) Surrogate-assisted evolutionary optimisation (SAEOpt'16) chairs' welcome & organization, GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, DOI:10.1145/2908961.2931710.
• Rahat AAM, Everson RM, Fieldsend JE. (2016) Evolutionary Multi-Path Routing for Network Lifetime and Robustness in Wireless Sensor Networks, Ad Hoc Networks, DOI:10.1016/j.adhoc.2016.08.005.
• Fieldsend JE. (2016) Dynamic Visualisation of Many-Objective Populations, OR58, Portsmouth, 6th - 8th Sep 2016, OR58 Annual Conference - Keynote Papers and Extended Abstracts, pages 57-67.
• Fieldsend JE. (2016) Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems, GECCO, Denver, Colorado, Usa, 20th - 24th Jul 2016, GECCO'16 Companion, pages 1429-1436.

2015

• Fieldsend JE. (2015) A performance assessment of dynamic heuristic optimisers on the IEEE CEC 2015 niching competition test problems, Computer Science, University of Exeter.
• Aumjaud P, Fieldsend JE, Boucher M-A, Evans K, Smith C. (2015) Multi-objective optimisation of viscoelastic damping inserts in honeycomb sandwich structures, Composite Structures, volume 132, pages 451-463.
• Fieldsend JE, Moraglio A. (2015) Strength through diversity: Disaggregation and multi-objectivisation approaches for genetic programming, Genetic and Evolutionary Computation Conference, Madrid, 11th - 15th Jul 2015, DOI:10.1145/2739480.2754643.
• Rahat AAM, Everson RM, Fieldsend JE. (2015) Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks, Evolutionary Computation, volume 23, pages 481-507, DOI:10.1162/EVCO_a_00151.
• Fieldsend JE. (2015) Elite Accumulative Sampling Strategies for Noisy Multi-Objective Optimisation, 8th International Conference on Evolutionary Multi-Criterion Optimization, GuimarÃes, Portugal, 29th Mar - 1st Apr 2015, Lecture Notes in Computer Science, volume 9019, pages 172-186, DOI:10.1007/978-3-319-15892-1_12.
• Fieldsend JE. (2015) Using an adaptive collection of local evolutionary algorithms for multi-modal problems, Soft Computing, volume 19, no. 6, pages 1445-1460, DOI:10.1007/s00500-014-1309-6. [PDF]
• Fieldsend JE, Everson RM. (2015) The Rolling Tide Evolutionary Algorithm: A Multi-Objective Optimiser for Noisy Optimisation Problems, IEEE Transactions on Evolutionary Computation, volume 19, no. 1, pages 103-117, DOI:10.1109/TEVC.2014.2304415. [PDF]

2014

• Rahat AAM, Everson RM, Fieldsend JE. (2014) Multi-Objective Routing Optimisation for Battery-Powered Wireless Sensor Mesh Networks, Genetic and Evolutionary Computation Conference, GECCO'14, Vancouver, Canada, 12th - 16th Jul 2014. [PDF]
• Fieldsend JE, Everson RM. (2014) Efficiently Identifying Pareto Solutions when Objective Values Change, Genetic and Evolutionary Computation Conference, GECCO'14, Vancouver, Canada, 12th - 16th Jul 2014. [PDF]
• Fieldsend JE. (2014) Running Up Those Hills: Multi-Modal Search with the Niching Migratory Multi-Swarm Optimiser, IEEE Congress on Evolutionary Computation, Beijing, 6th - 11th Jul 2014. [PDF]
• Aumjaud P, Smith CW, Fieldsend JE, Evans KE. (2014) Optimised location and orientation of passive viscoelastic dampers for lightweight sandwich structures, 16th International Conference on Experimental Mechanics.
• Everson RM, Walker DJ, Fieldsend JE. (2014) Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets, Evolutionary Computation, volume 22, no. 3, pages 479-501, DOI:10.1162/EVCO_a_00124. [PDF]

2013

• Everson R, Fieldsend J, Galton A, McClymont K, Walker D. (2013) Preface, 2nd Symposium on Nature-Inspired Computing and Applications, NICA 2013 - AISB Convention 2013.
• Fieldsend JE, Everson RM. (2013) On the efficient maintenance and updating of Pareto solutions when assigned objectives values may change, Computer Science, University of Exeter. [PDF]
• Harrison M, Fieldsend JE, Lawes A, Somerfield D. (2013) The Impact of an Automated Checklist on Reliability of Inpatient Psychiatric Care, The Royal College of Psychiatrists’ International Congress, Edinburgh, 2nd - 5th Jul 2013.
• Fieldsend JE. (2013) Multi-Modal Optimisation using a Localised Surrogates Assisted Evolutionary Algorithm, UK Workshop on Computational Intelligence (UKCI 2013), University Of Surrey, 9th - 11th Sep 2013. [PDF]
• Everson RM, Walker DJ, Fieldsend JE. (2013) Edges of Mutually Non-dominating Sets, Genetic and Evolutionary Computation Conference, GECCO'13, Amsterdam.
• Woolard MM, Fieldsend JE. (2013) On the Effect of Selection and Archiving Operators in Many-Objective Particle Swarm Optimisation, Genetic and Evolutionary Computation Conference, GECCO'13, Amsterdam. [PDF]
• Fieldsend JE, Everson RM. (2013) Visualising high-dimensional Pareto relationships in two-dimensional scatterplots, Evolutionary Multi-criterion Optimization, EMO 2013, Sheffield, Lecture Notes in Computer Science, volume 7811, pages 558-572. [PDF]
• Walker DJ, Everson RM, Fieldsend JE. (2013) Visualising Mutually Non-dominating Solution Sets in Many-objective Optimisation, IEEE Transactions on Evolutionary Computation, volume 17, no. 2, pages 165-184, DOI:10.1109/TEVC.2012.2225064. [PDF]

2012

• Walker DJ, Fieldsend JE, Everson RM. (2012) Visualising many-objective populations, Genetic and Evolutionary Computation Conference, GECCO'12, DOI:10.1145/2330784.2330853. [PDF]

2011

• McClymont K, Walker D, Keedwell E, Everson R, Fieldsend JE, Savic D, Randall-Smith M. (2011) Novel Methods for Ranking District Metered Areas for Water Distribution Network Maintenance Scheduling, CCWI, Exeter, 5th - 7th Sep 2011. [PDF]
• Walker DJ, Everson RM, Fieldsend JE. (2011) Rank-based dimension reduction for many-criteria populations, Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication, pages 107-108. [PDF]

2010

• Reckhouse WJ, Fieldsend JE, Everson RM. (2010) Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert, IEEE Congress on Evolutionary Computation, Barcelona, 19th - 23rd Jul 2010. [PDF]
• Walker DJ, Everson RM, Fieldsend JE. (2010) Visualisation and ordering of many-objective populations, IEEE Congress on Evolutionary Computation, pages 1-8. [PDF]
• Fredlund RM, Everson RM, Fieldsend JE. (2010) A Bayesian Framework for Active Learning, IEEE International Joint Conference on Neural Networks, Barcelona. [PDF]

2009

• Everson RM, Fieldsend JE, Smith KI. (2009) Simulated annealing and greedy search for multi-objective optimisation, Department of Computer Science, University of Exeter. [PDF]
• Fieldsend JE. (2009) Optimising decision trees using multi-objective particle swarm optimisation, Swarm Intelligence for Multi-objective Problems in Data Mining,, Springer, 93-114. [PDF]

2008

• Smith KI, Everson RM, Fieldsend JE, Murphy C, Misra R. (2008) Dominance-Based Multiobjective Simulated Annealing, IEEE Transactions on Evolutionary Computation, volume 12, no. 6, pages 323-342, DOI:10.1109/TEVC.2008.929322. [PDF]
• Fieldsend JE, Everson RM. (2008) Multi-Objective Supervised Learning, Multi-Objective Problem Solving from Nature: From Concepts to Applications, Springer, 155-176. [PDF]
• Reckhouse W, Everson R, Fieldsend J, Bush D, Arnold T, Hayward R, Slater K. (2008) Assessment and optimisation of STCA performance: Using the Pareto optimal receiver operating characteristic.
• Smith KI, Everson RM, Fieldsend JE, Murphy C, Misra R. (2008) Dominance-based multiobjective simulated annealing, IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, volume 12, no. 3, pages 323-342, DOI:10.1109/TEVC.2007.904345. [PDF]
• Fieldsend JE, Everson RM. (2008) On the efficient use of uncertainty when performing expensive ROC optimisation, IEEE Congress on Evolutionary Computation (CEC), Hong Kong, 1st - 6th Jun 2008, DOI:10.1109/CEC.2008.4631340. [PDF]

2007

• Schetinin V, Fieldsend JE, Partridge D, Coats TJ, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2007) Confident interpretation of Bayesian decision tree ensembles for clinical applications, IEEE Transactions on Information Technology in Biomedicine, volume 11, no. 3, pages 312-319, DOI:10.1109/TITB.2006.880553.
• Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2007) Estimating Classification Uncertainty of Bayesian Decision Tree Techniques on Financial Data, Perception-based Data Mining and Decision Making in Economics and Finance, Springer, 155-179.

2006

• Bailey, T.C., Everson, R.M., Krzanowski, W.J.. (2006) Representing classifier confidence in the safety-critical domain - an illustration from mortality prediction in trauma cases, Neural Computing and Applications, volume 153, no. 1-2, pages 1-10.
• Žunić J, Kopanja L, Fieldsend JE. (2006) Notes on shape orientation where the standard method does not work, Pattern Recognition, volume 39, no. 5, pages 856-865, DOI:10.1016/j.patcog.2005.11.010.
• Everson RM, Fieldsend JE. (2006) Multi-objective optimisation for receiver operating characteristic analysis, Multi-Objective Machine Learning, 531-556.
• Partridge D, Fieldsend JE, Krzanowski W, Bailey TC, Everson RM, Schetinin V. (2006) Computing with confidence: a Bayesian approach, "Carcassonne, France".
• Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2006) A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems, 82-96.
• Everson RM, Fieldsend JE. (2006) Multi-Objective Optimisation of Safety Related Systems: An Application to Short Term Conflict Alert, IEEE Transactions on Evolutionary Computation, volume 10, no. 2, pages 187-198.
• Krzanowski WJ, Fieldsend JE, Bailey TC, Everson RM, Partridge D, Schetinin V. (2006) Confidence in Classification: A Bayesian Approach, Journal of Classification, volume 23, no. 2, pages 199-220, DOI:10.1007/s00357-006-0013-3. [PDF]
• Partridge D, Bailey TC, Everson RM, Fieldsend JE, Hernandez A, Krzanowski WJ, Schetinin V. (2006) Classification with confidence for critical systems, DEVELOPMENTS IN RISK-BASED APPROACHES TO SAFETY, pages 231-+, DOI:10.1007/1-84628-447-3_13. [PDF]
• Everson RM, Fieldsend JE. (2006) Multi-class ROC analysis from a multi-objective optimisation perspective, Pattern Recognition Letters, volume 27, no. 8, pages 918-927, DOI:10.1016/j.patrec.2005.10.016. [PDF]
• Partridge D, Schetinin V, Li D, Coats TJ, Fieldsend JE, Krzanowski WJ, Everson RM, Bailey TC. (2006) Interpretability of Bayesian Decision Trees Induced from Trauma Data, ICAISC 2006, Lecure Notes in Artificial Intelligence, volume 4029, pages 972-981.
• Fieldsend JE. (2006) Regression Error Characteristic Optimisation of Non-Linear Models, Multi-Objective Machine Learning, 101-123.
• Everson R, Fieldsend J, Bailey T, Krzanowski W, Partridge D, Hernandez A, Schetinin V. (2006) Optimising Data-Driven Safety Related Systems, "Proceedings of the Fourteenth Safety-critical Systems Symposium, Bristol, UK", pages 217-230.

2005

• Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2005) The Bayesian Decision Tree Technique with a Sweeping Strategy, DOI:10.48550/arxiv.cs/0504042.
• Fieldsend JE, Everson RE. (2005) Formulation and comparison of multi-class ROC surfaces, 2nd ROCML workshop, part of the 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany. [PDF]
• Fieldsend JE, Everson RM. (2005) Multi-objective optimisation in the presence of uncertainty, IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, 2nd - 5th Sep 2005. [PDF]
• Everson RM, Bailey TC, Krzanowski WJ, Fieldsend JE. (2005) On Evidence Weighted Mixture Classification, Joint Annual Meeting of the Interface and the Classification Society of North America, St. Louis, Missouri, 8th - 12th Jun 2005. [PDF]
• Alvarez-Benitez JE, Everson RM, Fieldsend JE. (2005) A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts, In Third International Conference on Evolutionary MultiCriterion Optimization, EMO 2005, Mexico, 8th - 11th Mar 2005, Lecture Notes in Computer Science, volume 3410, pages 459-473. [PDF]
• Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernández A. (2005) Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique, CoRR, volume abs/cs/0504066.
• Fieldsend JE. (2005) A short note on the efficient random sampling of the multi-dimensional pyramid between a simplex and the origin lying in the unit hypercube, Department of Computer Science, University of Exeter. [PDF]
• Fieldsend JE, Singh S. (2005) Pareto Evolutionary Neural Networks, IEEE Transactions on Neural Networks, volume 16, no. 2, pages 338-354, DOI:10.1109/TNN.2004.841794. [PDF]
• Fieldsend JE, Everson RE. (2005) Visualisation of multi-class ROC surfaces, 2nd ROCML workshop, part of the 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany. [PDF]

2004

• Schetinin V, Partridge D, Krzanowski WJ, Everson RM, Fieldsend JE, Bailey TC, Hernandez A. (2004) Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles, "Exeter, August 25-27, Springer", pages 726-732. [PDF]
• Fisher MJ, Fieldsend JE, Everson RM. (2004) Precision and Recall Optimisation for Information Access Tasks, "22nd August, Valencia", pages 45-54. [PDF]
• Fieldsend JE. (2004) Multi-Objective Particle Swarm Optimisation Methods, Department of Computer Science, University of Exeter. [PDF]
• Fieldsend JE, Everson RM. (2004) ROC Optimisation of Safety Related Systems, Proceedings of ROCAI 2004, part of the 16th European Conference on Artificial Intelligence, "22nd August, Valencia", pages 37-44. [PDF]
• Fieldsend JE, Singh S. (2004) Optimizing forecast model complexity using multi-objective evolutionary algorithms, Applications of Multi-Objective Evolutionary Algorithms, World Scientific, 675-700. [PDF]
• Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2004) The Bayesian Decision Tree Technique with a Sweeping Strategy, International Conference on Advances in Intelligent Systems - Theory and Applications (AISTA 2004), Centre De Recherche Public Henri Tudor, Luxembourg, 15th - 18th Nov 2004. [PDF]
• Smith KI, Everson RM, Fieldsend JE. (2004) Dominance Measures for Multi-Objective Simulated Annealing, "Portland, Oregon", pages 23-30. [PDF]
• Fieldsend JE, Matatko J, Peng M. (2004) Cardinality constrained portfolio optimisation, 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004), Exeter, England, 25th - 27th Aug 2004, Lecture Notes in Computer Science, volume 3177, pages 788-793. [PDF]
• Smith K, Everson R, Fieldsend J, Misra R, Murphy C. (2004) Multi-Objective Simulated Annealing for Optimisation of CDMA Network Air-Interface, US.
• Everson RM, Fieldsend JE. (2004) A variable metric probabilistic k-nearest-neighbours classifier, 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004), Exeeter, England, 25th - 27th Aug 2004, Lecture Notes in Computer Science, volume 3177, pages 654-659. [PDF]

2003

• Fieldsend JE, Everson RM, Singh S. (2003) Using Unconstrained Elite Archives for Multi- Objective Optimisation, IEEE Transactions on Evolutionary Computation, volume 7, no. 3, pages 305-323, DOI:10.1109/TEVC.2003.810733. [PDF]
• Fieldsend JE. (2003) Novel Algorithms for Multi-Objective Search and their application in Multi-Objective Evolutionary Neural Network Training. [PDF]
• Fieldsend JE, Bailey TC, Everson RM, Krzanowski WJ, Partridge D, Schetinin V. (2003) Bayesian inductively learned modules for safety critical systems, 35th Symposium on the Interface: Computing Science and Statistics, Salt Lake City, Usa, 12th - 15th Mar 2003, Computing Science and Statisics, volume 35, pages 110-125. [PDF]

2002

• Fieldsend JE, Singh S. (2002) A multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence, UK Workshop on Computational Intelligence (UKCI'02), Birmingham, Uk, 2nd - 4th Sep 2002. [PDF]
• Everson RM, Fieldsend JE, Singh S. (2002) Full Elite Sets for Multi-Objective Optimisation, 5th International Conference on Adaptive Computing in Design and Manufacture, Exeter, 16th - 18th Apr 2002. [PDF]
• Fieldsend JE, Singh S. (2002) Pareto multi-objective non-linear regression modelling to aid CAPM analogous forecasting, IEEE International Joint Conference on Neural Networks (IJCNN 02), Honolulu, Hi, 12th - 17th May 2002. [PDF]

2001

• Singh S, Fieldsend JE. (2001) Pattern Matching and Neural Networks based Hybrid Forecasting System, International Conference on Advances in Pattern Recognition, Lecture Notes in Computer Science, volume 2013, pages 72-82. [PDF]

2000

• Singh S, Fieldsend JE. (2000) Financial Time Series Forecasts using Fuzzy and Long Memory Pattern Recognition Systems, IEEE/IAFE/INFORMS International Conference on Computational Intelligence for Financial Engineering (CIFEr 2000), 26th - 28th Mar 2000. [PDF]
• Bovis KJ, Singh S, Fieldsend JE, Pinder C. (2000) Identification of masses in digital mammograms with MLP and RBF Nets, International Joint Conference on Neural Networks 2000 (IJCNN'2000), Como, Itlay, 24th - 27th Jul 2000. [PDF]

1999

• Fieldsend JE. (1999) Non-linear ARCH Volatility Estimation Using Neural Networks.

Patents

• Jarman D, Daniels S, Rahat A, Fieldsend J, Everson R, Tabor G. Separator for separating solids from a fluid, Patent Number: 10843105, US, 2020.
• Misra R, Everson RE, Fieldsend JE, Murphy C, Smith KI. A method of selecting operational parameters in a communication network, Patent Number: WO2005091948, US, 2004.
• Misra R, Everson RM, Fieldsend JE, Murphy C, Smith KI. A method of selecting operational parameters in a communication network, Patent Number: EP1730980, Europe, 2004.
• Misra R, Everson RM, Fieldsend JE, Murphy C, Smith KI. A method of selecting operational parameters in a communication network, Patent Number: GB2412275, UK, 2004.

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