Jonathan Fieldsend

Jonathan Fieldsend

University of Exeter

H-index: 29

Europe-United Kingdom

About Jonathan Fieldsend

Jonathan Fieldsend, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Exeter, specializes in the field of Multi-Objective Optimization, Bayesian Optimization, Evolutionary Computation, Machine Learning, Data Visualization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Shape optimisation of a hydrodynamic separator using expensive and constrained multi-objective computational modelling

4.8 Exploring correlations in multi-objective optimization

Evolutionary Learning and Optimization

Many-Objective Quality Measures

Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling

Editorial to the “Best of GECCO 2022” Special Issue: Part I

Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective

Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations

Jonathan Fieldsend Information

University

Position

Professor of Computational Intelligence

Citations(all)

4336

Citations(since 2020)

1655

Cited By

3195

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

66

i10Index(since 2020)

41

Email

University Profile Page

University of Exeter

Google Scholar

View Google Scholar Profile

Jonathan Fieldsend Skills & Research Interests

Multi-Objective Optimization

Bayesian Optimization

Evolutionary Computation

Machine Learning

Data Visualization

Top articles of Jonathan Fieldsend

Title

Journal

Author(s)

Publication Date

Shape optimisation of a hydrodynamic separator using expensive and constrained multi-objective computational modelling

Andrew Philip Roberts

Alma As-Aad Mohammad Rahat

Daniel Stuart Jarman

Jonathan Edward Fieldsend

Gavin Randal Tabor

2024/3/20

4.8 Exploring correlations in multi-objective optimization

Multiobjective Optimization on a Budget

Tea Tusar

Dimo Brockhoff

Jonathan Fieldsend

Boris Naujoks

Alma Rahat

...

2024/3

Evolutionary Learning and Optimization

ACM Transactions on

J Renzullo

W Weimer

S Forrest

D Yazdani

M Nabi Omidvar

...

2023

Many-Objective Quality Measures

Bekir Afsar

Jonathan E Fieldsend

Andreia P Guerreiro

Kaisa Miettinen

Sebastian Rojas Gonzalez

...

2023/7/29

Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling

James Sakal

Jonathan Fieldsend

Edward Keedwell

2023/7/15

Editorial to the “Best of GECCO 2022” Special Issue: Part I

Jonathan Fieldsend

Markus Wagner

2023/6/29

Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective

Arnaud Liefooghe

Sébastien Verel

Tinkle Chugh

Jonathan Fieldsend

Richard Allmendinger

...

2023/3/9

Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations

Melike D Karatas

Marc Goodfellow

Jonathan E Fieldsend

2023/12/5

GECCO 2022: Summary and Statistics

ACM SIGEVOlution

Jonathan Fieldsend

Markus Wagner

2023/2/13

Control of Processing Equipment

2023/8/3

On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation

Jonathan E Fieldsend

2022

Efficient approximation of expected hypervolume improvement using Gauss-Hermite quadrature

Alma Rahat

Tinkle Chugh

Jonathan Fieldsend

Richard Allmendinger

Kaisa Miettinen

2022/8/14

Key reaction components affect the kinetics and performance robustness of cell-free protein synthesis reactions

Computational and Structural Biotechnology Journal

Alice M Banks

Colette J Whitfield

Steven R Brown

David A Fulton

Sarah A Goodchild

...

2022/1/1

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Kalyanmoy Deb

Riccardo Poli

Wolfgang Banzhaf

Hans Georg Beyer

Edmund K Burke

...

2004

Dimba: discretely masked black-box attack in single object tracking

Machine Learning

Xiangyu Yin

Wenjie Ruan

Jonathan Fieldsend

2022/10/31

Guiding surrogate-assisted multi-objective optimisation with decision maker preferences

Finley J Gibson

Richard M Everson

Jonathan E Fieldsend

2022/7/8

Towards a Many-Objective Optimiser for University Course Timetabling

James Sakal

Jonathan Fieldsend

Edward Keedwell

2022/10/31

Optimising Diversity in Classifier Ensembles

SN Computer Science

Carina Ivaşcu

Richard M Everson

Jonathan E Fieldsend

2022/5

Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover (vol 15, pg 609, 2022)

Nature Geoscience

Ying Chen

Jim Haywood

Yu Wang

Florent Malavelle

George Jordan

...

2022/8

Variational autoencoders without the variation

arXiv preprint arXiv:2203.00645

Gregory A Daly

Jonathan E Fieldsend

Gavin Tabor

2022/3/1

See List of Professors in Jonathan Fieldsend University(University of Exeter)

Co-Authors

H-index: 105
Yaochu Jin

Yaochu Jin

University of Surrey

H-index: 65
Geyong Min

Geyong Min

University of Exeter

H-index: 47
Richard Everson

Richard Everson

University of Exeter

H-index: 32
Gavin Tabor

Gavin Tabor

University of Exeter

H-index: 32
David A Fulton

David A Fulton

Newcastle University

H-index: 30
Trevor Bailey

Trevor Bailey

University of Exeter

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