Andy J. Keane

According to our database1, Andy J. Keane authored at least 42 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD.
Comput. Aided Des., January, 2024

2022
Multiresolution surface blending for detail reconstruction.
Graph. Vis. Comput., 2022

2020
Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization.
J. Glob. Optim., 2020

Robust design optimization using surrogate models.
J. Comput. Des. Eng., 2020

2018
(Re-) Meshing using interpolative mapping and control point optimization.
J. Comput. Des. Eng., 2018

2015
Genetic Programming, Logic Design and Case-Based Reasoning for Obstacle Avoidance.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

2012
Enhancing infill sampling criteria for surrogate-based constrained optimization.
J. Comput. Methods Sci. Eng., 2012

2011
Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

2010
Generative Topographic Mapping for Dimension Reduction in Engineering Design.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

On the Coordination of Multidisciplinary Design Optimization Using Expert Systems.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

2008
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations.
IEEE Trans. Evol. Comput., 2008

Engineering Design via Surrogate Modelling - A Practical Guide.
Wiley, ISBN: 978-0-470-06068-1, 2008

2007
Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Part C, 2007

2006
Constructing a speculative kernel machine for pattern classification.
Neural Networks, 2006

2005
On the Design of Optimization Strategies Based on Global Response Surface Approximation Models.
J. Glob. Optim., 2005

Implementation and utilisation of a Grid-enabled problem solving environment in Matlab.
Future Gener. Comput. Syst., 2005

2004
Meta-Lamarckian learning in memetic algorithms.
IEEE Trans. Evol. Comput., 2004

A Derivative Based Surrogate Model for Approximating and Optimizing the Output of an Expensive Computer Simulation.
J. Glob. Optim., 2004

A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product Development.
J. Comput. Inf. Sci. Eng., 2004

Numerical Optimisation as Grid Services for Engineering Design.
J. Grid Comput., 2004

A service-oriented approach for aerodynamic shape optimisation across institutional boundaries.
Proceedings of the 8th International Conference on Control, 2004

Databases, Workflows and the Grid in a Service Oriented Environment.
Proceedings of the Euro-Par 2004 Parallel Processing, 2004

Developing Services for Design Optimisation on the Grid.
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.
J. Glob. Optim., 2003

A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

Implementation of a Grid-Enabled Problem Solving Environment in Matlab.
Proceedings of the Computational Science - ICCS 2003, 2003

Two Dimensional Airfoil Optimisation Using CFD in a Grid Computing Environment.
Proceedings of the Euro-Par 2003. Parallel Processing, 2003

2002
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels.
J. Mach. Learn. Res., 2002

A Data Parallel Approach for Large-Scale Gaussian Process Modeling.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Natural Language Processing for Expertise Modelling in E-mail Communication.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

The Development of a Grid Based Engineering Design Problem Solving Environment.
Proceedings of the Computational Science - ICCS 2002, 2002

Grid Services in Action: Grid Enabled Optimisation and Design Search.
Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11 2002), 2002

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

Component Based Problem Solving Environment.
Proceedings of the Euro-Par 2002, 2002

2001
Using Document Structures for Personal Ontologies and User Modeling.
Proceedings of the User Modeling 2001, 8th International Conference, 2001

The GRID: Computational and Data Resource Sharing in Engineering Optimisation and Design Search.
Proceedings of the 30th International Workshops on Parallel Processing (ICPP 2001 Workshops), 2001

Some Greedy Algorithms for Sparse Nonlinear Regression.
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.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999

Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and Limitations.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Topographical mapping assisted evolutionary search for multilevel optimization.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997
Pruning Backpropagation Neural Networks Using Modern Stochastic Optimisation Techniques.
Neural Comput. Appl., 1997

1996
Topology Design of Feedforward Neural Networks by Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1996


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