Topology Design of Feedforward Neural Networks by Genetic Algorithms. - Slawomir W. Stepniewski; Andy J. Keane (PPSN, 1996)

Pruning Backpropagation Neural Networks Using Modern Stochastic Optimisation Techniques. - Slawomir W. Stepniewski; Andy J. Keane (Neural Comput. Appl., 1997)

Topographical mapping assisted evolutionary search for multilevel optimization. - Mohammed A. El-Beltagy; Andy J. Keane (CEC, 1999)

Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and Limitations. - Mohammed El-Beltagy; Prasanth B. Nair; Andy J. Keane (GECCO, 1999)

Using Self Organizing Maps and Genetic Algorithms for Model Selection in Multilevel Optimization. - Mohammed El-Beltagy; Andy J. Keane (IEA/AIE, 1999)

Some Greedy Algorithms for Sparse Nonlinear Regression. - Prasanth B. Nair; Arindam Choudhury 002; Andy J. Keane (ICML, 2001)

The GRID: Computational and Data Resource Sharing in Engineering Optimisation and Design Search. - Simon J. Cox 001; Matt J. Fairman; Gang Xue; Jasmin L. Wason; Andy J. Keane (ICPP Workshops, 2001)

Using Document Structures for Personal Ontologies and User Modeling. - Sanghee Kim; Wendy Hall 001; Andy J. Keane (User Modeling, 2001)

Component Based Problem Solving Environment. - Anthony J. G. Hey; Juri Papay; Andy J. Keane; Simon J. Cox 001 (Euro-Par, 2002)

Engineering Knowledge for Engineering Grid Applications. - Liming Chen 001; Simon J. Cox 001; Carole A. Goble; Andy J. Keane; Angus Roberts; Nigel R. Shadbolt; Paul R. Smart; Feng Tao 001 (EuroWeb, 2002)

Grid Services in Action: Grid Enabled Optimisation and Design Search. - Simon J. Cox 001; Richard P. Boardman; Liming Chen 001; 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; et al. (HPDC, 2002)

The Development of a Grid Based Engineering Design Problem Solving Environment. - A. D. Scurr; Andy J. Keane (International Conference on Computational Science (1), 2002)

Natural Language Processing for Expertise Modelling in E-mail Communication. - Sanghee Kim; Wendy Hall 001; Andy J. Keane (IDEAL, 2002)

A Data Parallel Approach for Large-Scale Gaussian Process Modeling. - Arindam Choudhury 002; Prasanth B. Nair; Andy J. Keane (SDM, 2002)

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels. - Prasanth B. Nair; Arindam Choudhury 002; Andy J. Keane (J. Mach. Learn. Res., 2002)

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 001 (Euro-Par, 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 001 (International Conference on Computational Science, 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 001 (IPDPS, 2003)

A Knowledge-Based Approach To Response Surface Modelling in Multifidelity Optimization. - Stephen J. Leary; Atul Bhaskar; Andy J. Keane (J. Glob. Optim., 2003)

Developing Services for Design Optimisation on the Grid. - Gang Xue; Wenbin Song; Andy J. Keane; Simon J. Cox 001 (IEEE SCC, 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 001 (Euro-Par, 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 001; Bu-Sung Lee (ICARCV, 2004)

Numerical Optimisation as Grid Services for Engineering Design. - Gang Xue; Wenbin Song; Simon J. Cox 001; Andy J. Keane (J. Grid Comput., 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)

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)

Meta-Lamarckian learning in memetic algorithms. - Yew-Soon Ong; Andy J. Keane (IEEE Trans. Evol. Comput., 2004)

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 001 (Future Gener. Comput. Syst., 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)

Constructing a speculative kernel machine for pattern classification. - Arindam Choudhury 002; Prasanth B. Nair; Andy J. Keane (Neural Networks, 2006)

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)

Engineering Design via Surrogate Modelling - A Practical Guide. - Alexander I. J. Forrester; Andras Sobester; Andy J. Keane (Wiley, 2008)

Genetic Programming Approaches for Solving Elliptic Partial Differential Equations. - Andras Sobester; Prasanth B. Nair; Andy J. Keane (IEEE Trans. Evol. Comput., 2008)

On the Coordination of Multidisciplinary Design Optimization Using Expert Systems. - Andrew R. Price; Andy J. Keane; Carren M. E. Holden (LION, 2010)

Generative Topographic Mapping for Dimension Reduction in Engineering Design. - Asha Viswanath; Alexander I. J. Forrester; Andy J. Keane (LION, 2010)

Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems. - David J. J. Toal; Andy J. Keane (LION, 2011)

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)

Genetic Programming, Logic Design and Case-Based Reasoning for Obstacle Avoidance. - Andy J. Keane (LION, 2015)

(Re-) Meshing using interpolative mapping and control point optimization. - Ivan Voutchkov; Andy J. Keane; Shahrokh Shahpar; Ron Bates (J. Comput. Des. Eng., 2018)

Robust design optimization using surrogate models. - Andy J. Keane; Ivan Voutchkov (J. Comput. Des. Eng., 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)

Multiresolution surface blending for detail reconstruction. - Hono Salval; Andy J. Keane; David Toal (Graph. Vis. Comput., 2022)

AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries. - Tom Bamford; David Toal; Andy J. Keane (ECML/PKDD (9), 2024)

Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD. - Gerico Vidanes; David Toal; Xu Zhang 042; Andy J. Keane; Jon Gregory; Marco Nunez (Comput. Aided Des., 2024)

An Empirical Review of Uncertainty Estimation for Quality Control in CAD Model Segmentation. - Gerico Vidanes; David Toal; Andy J. Keane; Daniel Xu Zhang; Marco Nunez; Jon Gregory (EANN (1), 2025)