Andy J. Keane

According to our database, Andy J. Keane authored at least 43 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD.

Gerico Vidanes, David Toal, Xu Zhang, Andy J. Keane, Jon Gregory, Marco Nunez

Comput. Aided Des., January, 2024

AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries.

Tom Bamford, David Toal, Andy J. Keane

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

2022

Multiresolution surface blending for detail reconstruction.

Hono Salval, Andy J. Keane, David Toal

Graph. Vis. Comput., 2022

2020

Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization.

Jolan Wauters, Andy J. Keane, Joris Degroote

J. Glob. Optim., 2020

Robust design optimization using surrogate models.

Andy J. Keane, Ivan Voutchkov

J. Comput. Des. Eng., 2020

2018

(Re-) Meshing using interpolative mapping and control point optimization.

Ivan Voutchkov, Andy J. Keane, Shahrokh Shahpar, Ron Bates

J. Comput. Des. Eng., 2018

2015

Genetic Programming, Logic Design and Case-Based Reasoning for Obstacle Avoidance.

Andy J. Keane

Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

2012

Enhancing infill sampling criteria for surrogate-based constrained optimization.

James M. Parr, Alexander I. J. Forrester, Andy J. Keane, Carren M. E. Holden

J. Comput. Methods Sci. Eng., 2012

2011

Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems.

David J. J. Toal, Andy J. Keane

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

2010

Generative Topographic Mapping for Dimension Reduction in Engineering Design.

Asha Viswanath, Alexander I. J. Forrester, Andy J. Keane

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

On the Coordination of Multidisciplinary Design Optimization Using Expert Systems.

Andrew R. Price, Andy J. Keane, Carren M. E. Holden

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

2008

Genetic Programming Approaches for Solving Elliptic Partial Differential Equations.

Andras Sobester, Prasanth B. Nair, Andy J. Keane

IEEE Trans. Evol. Comput., 2008

Engineering Design via Surrogate Modelling - A Practical Guide.

Alexander I. J. Forrester, Andras Sobester, Andy J. Keane

Wiley, ISBN: 978-0-470-06068-1, 2008

2007

Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization.

Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum

IEEE Trans. Syst. Man Cybern. Part C, 2007

2006

Constructing a speculative kernel machine for pattern classification.

Arindam Choudhury, Prasanth B. Nair, Andy J. Keane

Neural Networks, 2006

2005

On the Design of Optimization Strategies Based on Global Response Surface Approximation Models.

Andras Sobester, Stephen J. Leary, Andy J. Keane

J. Glob. Optim., 2005

Implementation and utilisation of a Grid-enabled problem solving environment in Matlab.

Murat Hakki Eres, Graeme E. Pound, Zhuoan Jiao, Jasmin L. Wason, Fenglian Xu, Andy J. Keane, Simon J. Cox

Future Gener. Comput. Syst., 2005

2004

Meta-Lamarckian learning in memetic algorithms.

Yew-Soon Ong, Andy J. Keane

IEEE Trans. Evol. Comput., 2004

A Derivative Based Surrogate Model for Approximating and Optimizing the Output of an Expensive Computer Simulation.

Stephen J. Leary, Atul Bhaskar, Andy J. Keane

J. Glob. Optim., 2004

A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product Development.

David Paul Dupplaw, David Brunson, Anna-Jane E. Vine, Colin P. Please, Susan M. Lewis, Angela M. Dean, Andy J. Keane, Marcus J. Tindall

J. Comput. Inf. Sci. Eng., 2004

Numerical Optimisation as Grid Services for Engineering Design.

Gang Xue, Wenbin Song, Simon J. Cox, Andy J. Keane

J. Grid Comput., 2004

A service-oriented approach for aerodynamic shape optimisation across institutional boundaries.

Wenbin Song, Yew-Soon Ong, Hee-Khiang Ng, Andy J. Keane, Simon J. Cox, Bu-Sung Lee

Proceedings of the 8th International Conference on Control, 2004

Databases, Workflows and the Grid in a Service Oriented Environment.

Zhuoan Jiao, Jasmin L. Wason, Wenbin Song, Fenglian Xu, Murat Hakki Eres, Andy J. Keane, Simon J. Cox

Proceedings of the Euro-Par 2004 Parallel Processing, 2004

Developing Services for Design Optimisation on the Grid.

Gang Xue, Wenbin Song, Andy J. Keane, Simon J. Cox

Proceedings of the 2004 IEEE International Conference on Services Computing (SCC 2004), 2004

2003

A Knowledge-Based Approach To Response Surface Modelling in Multifidelity Optimization.

Stephen J. Leary, Atul Bhaskar, Andy J. Keane

J. Glob. Optim., 2003

A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab.

Graeme E. Pound, Murat Hakki Eres, Jasmin L. Wason, Zhuoan Jiao, Andy J. Keane, Simon J. Cox

Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

Implementation of a Grid-Enabled Problem Solving Environment in Matlab.

Murat Hakki Eres, Graeme E. Pound, Zhuoan Jiao, Jasmin L. Wason, Fenglian Xu, Andy J. Keane, Simon J. Cox

Proceedings of the Computational Science - ICCS 2003, 2003

Two Dimensional Airfoil Optimisation Using CFD in a Grid Computing Environment.

Wenbin Song, Andy J. Keane, Murat Hakki Eres, Graeme E. Pound, Simon J. Cox

Proceedings of the Euro-Par 2003. Parallel Processing, 2003

2002

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels.

Prasanth B. Nair, Arindam Choudhury, Andy J. Keane

J. Mach. Learn. Res., 2002

A Data Parallel Approach for Large-Scale Gaussian Process Modeling.

Arindam Choudhury, Prasanth B. Nair, Andy J. Keane

Proceedings of the Second SIAM International Conference on Data Mining, 2002

Natural Language Processing for Expertise Modelling in E-mail Communication.

Sanghee Kim, Wendy Hall, Andy J. Keane

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

The Development of a Grid Based Engineering Design Problem Solving Environment.

A. D. Scurr, Andy J. Keane

Proceedings of the Computational Science - ICCS 2002, 2002

Grid Services in Action: Grid Enabled Optimisation and Design Search.

Simon J. Cox, Richard P. Boardman, Liming Chen, Mihai C. Duta, Murat Hakki Eres, Matt J. Fairman, Zhuoan Jiao, Michael B. Giles, Carole A. Goble, Graeme E. Pound, Andy J. Keane, Mark Scott, Nigel Shadbolt, Barry Tao, Jasmin L. Wason, Gang Xue

Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11 2002), 2002

Engineering Knowledge for Engineering Grid Applications.

Liming Chen, Simon J. Cox, Carole A. Goble, Andy J. Keane, Angus Roberts, Nigel R. Shadbolt, Paul R. Smart, Feng Tao

Proceedings of the Web and the Grid: from e-science to e-business. EuroWeb 2002 Conference, 2002

Component Based Problem Solving Environment.

Anthony J. G. Hey, Juri Papay, Andy J. Keane, Simon J. Cox

Proceedings of the Euro-Par 2002, 2002

2001

Using Document Structures for Personal Ontologies and User Modeling.

Sanghee Kim, Wendy Hall, Andy J. Keane

Proceedings of the User Modeling 2001, 8th International Conference, 2001

The GRID: Computational and Data Resource Sharing in Engineering Optimisation and Design Search.

Simon J. Cox, Matt J. Fairman, Gang Xue, Jasmin L. Wason, Andy J. Keane

Proceedings of the 30th International Workshops on Parallel Processing (ICPP 2001 Workshops), 2001

Some Greedy Algorithms for Sparse Nonlinear Regression.

Prasanth B. Nair, Arindam Choudhury, Andy J. Keane

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

1999

Using Self Organizing Maps and Genetic Algorithms for Model Selection in Multilevel Optimization.

Mohammed El-Beltagy, Andy J. Keane

Proceedings of the Multiple Approaches to Intelligent Systems, 1999

Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and Limitations.

Mohammed El-Beltagy, Prasanth B. Nair, Andy J. Keane

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Topographical mapping assisted evolutionary search for multilevel optimization.

Mohammed A. El-Beltagy, Andy J. Keane

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997

Pruning Backpropagation Neural Networks Using Modern Stochastic Optimisation Techniques.

Slawomir W. Stepniewski, Andy J. Keane

Neural Comput. Appl., 1997

1996

Topology Design of Feedforward Neural Networks by Genetic Algorithms.

Slawomir W. Stepniewski, Andy J. Keane

Proceedings of the Parallel Problem Solving from Nature, 1996