Jonathan E. Fieldsend

V. H. Stiles

Int. J. Comput. Sci. Sport, 2021

Asynchronous ε-Greedy Bayesian Optimisation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

James Sakal

Edward C. Keedwell

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Towards population-based fitness landscape analysis using local optima networks.

[BibT_eX]

[DOI]

Melike D. Karatas

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

How Bayesian should Bayesian optimisation be?

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Optimising Diversity in Classifier Ensembles of Classification Trees.

[BibT_eX]

[DOI]

Carina Ivascu

Proceedings of the Applications of Evolutionary Computation, 2021

Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function.

[BibT_eX]

[DOI]

Finley J. Gibson

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.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

What do you mean?: the role of the mean function in bayesian optimisation.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

ϵ-shotgun: ϵ-greedy batch bayesian optimisation.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions.

[BibT_eX]

[DOI]

Nicholas D. Sanders

CoRR, 2019

A New Initialisation Method for Examination Timetabling Heuristics.

[BibT_eX]

[DOI]

Amjad A. Alsuwaylimi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms.

[BibT_eX]

[DOI]

Abdulaziz T. Almutairi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A feature rich distance-based many-objective visualisable test problem generator.

[BibT_eX]

[DOI]

Tinkle Chugh

Richard Allmendinger

Kaisa Miettinen

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Visualising the landscape of multi-objective problems using local optima networks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Efficient real-time hypervolume estimation with monotonically reducing error.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Landscape analysis under measurement error.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics.

[BibT_eX]

[DOI]

Steven J. Daniels

Gavin R. Tabor

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Computationally efficient local optima network construction.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Voronoi-based archive sampling for robust optimisation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Robust multi-modal optimisation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

A Framework of Fog Computing: Architecture, Challenges, and Optimization.

[BibT_eX]

[DOI]

Yang Liu

Geyong Min

IEEE Access, 2017

Alternative infill strategies for expensive multi-objective optimisation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

University staff teaching allocation: formulating and optimising a many-objective problem.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Optimisation and landscape analysis of computational biology models: a case study.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Constraint handling in efficient global optimization.

[BibT_eX]

[DOI]

Domenico Quagliarella

Karthik Sindhya

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

On the exploitation of search history and accumulative sampling in robust optimisation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2016

Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization.

[BibT_eX]

[DOI]

Alma As-Aad Rahat

Yaochu Jin

Handing Wang

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2015

Using an adaptive collection of local evolutionary algorithms for multi-modal problems.

[BibT_eX]

[DOI]

Soft Comput., 2015

Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks.

[BibT_eX]

[DOI]

Evol. Comput., 2015

Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming.

[BibT_eX]

[DOI]

Alberto Moraglio

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014

Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets.

[BibT_eX]

[DOI]

Evol. Comput., 2014

Multi-objective routing optimisation for battery-powered wireless sensor mesh networks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Efficiently identifying pareto solutions when objective values change.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Running Up Those Hills: Multi-modal search with the niching migratory multi-swarm optimiser.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2013

Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm.

[BibT_eX]

[DOI]

Jonathan Edward Fieldsend

Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

On the effect of selection and archiving operators in many-objective particle swarm optimisation.

[BibT_eX]

[DOI]

Matthaus Martin Woolard

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Edges of mutually non-dominating sets.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012

Visualising many-objective populations.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Rank-based dimension reduction for many-criteria populations.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems

[BibT_eX]

[DOI]

CoRR, 2010

A Bayesian framework for active learning.

[BibT_eX]

[DOI]

Richard Fredlund

Proceedings of the International Joint Conference on Neural Networks, 2010

Visualisation and ordering of many-objective populations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

William J. Reckhouse

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008

Dominance-Based Multiobjective Simulated Annealing.

[BibT_eX]

[DOI]

Kevin I. Smith

Chris Murphy

Rashmi Misra

IEEE Trans. Evol. Comput., 2008

On the efficient use of uncertainty when performing expensive ROC optimisation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Multiobjective Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007

Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2007

Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases.

[BibT_eX]

[DOI]

Derek Partridge

Neural Comput. Appl., 2007

2006

Regression Error Characteristic Optimisation of Non-Linear Models.

[BibT_eX]

[DOI]

Proceedings of the Multi-Objective Machine Learning, 2006

Multi-Objective Optimisation for Receiver Operating Characteristic Analysis.

[BibT_eX]

[DOI]

Proceedings of the Multi-Objective Machine Learning, 2006

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems.

[BibT_eX]

[DOI]

Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006

Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2006

Multi-class ROC analysis from a multi-objective optimisation perspective.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2006

Notes on shape orientation where the standard method does not work.

[BibT_eX]

[DOI]

Jovisa D. Zunic

Lazar Kopanja

Pattern Recognit., 2006

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique.

[BibT_eX]

[DOI]

J. Math. Model. Algorithms, 2006

Confidence in Classification: A Bayesian Approach.

[BibT_eX]

[DOI]

Derek Partridge

J. Classif., 2006

Classification with Confidence for Critical Systems.

[BibT_eX]

[DOI]

Derek Partridge

Adolfo Hernández

Proceedings of the Developments in Risk-based Approaches to Safety, 2006

Optimising Data-Driven Safety Related Systems.

[BibT_eX]

[DOI]

Proceedings of the Developments in Risk-based Approaches to Safety, 2006

Interpretability of Bayesian Decision Trees Induced from Trauma Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Pareto evolutionary neural networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2005

Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data

[BibT_eX]

[DOI]

CoRR, 2005

The Bayesian Decision Tree Technique with a Sweeping Strategy

[BibT_eX]

[DOI]

CoRR, 2005

A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts.

[BibT_eX]

[DOI]

Julio E. Alvarez-Benitez

Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Multi-objective optimisation in the presence of uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Precision and Recall Optimisation for Information Access Tasks.

[BibT_eX]

Michelle Jayne Fisher

Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

ROC Optimisation of Safety Related Systems.

[BibT_eX]

Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles.

[BibT_eX]

[DOI]

Adolfo Hernández

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Cardinality Constrained Portfolio Optimisation.

[BibT_eX]

[DOI]

John Matatko

Ming Peng

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

A Variable Metric Probabilistic k-Nearest-Neighbours Classifier.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Dominance measures for multi-objective simulated annealing.

[BibT_eX]

[DOI]

Kevin I. Smith

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.

[BibT_eX]

[DOI]

PhD thesis, 2003

Using unconstrained elite archives for multiobjective optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2003

2001

Pattern Matching and Neural Networks Based Hybrid Forecasting System.

[BibT_eX]

[DOI]

Proceedings of the Advances in Pattern Recognition, 2001

2000

Identification of Masses in Digital Mammograms with MLP and RBF Nets.

[BibT_eX]

[DOI]

Keir Bovis

Chris Pinder

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.

[BibT_eX]

[DOI]