Andy J. Keane - researchr alias

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Viewing Publication 1 - 41 from 41

2024

Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CADGerico Vidanes, David Toal, Xu Zhang, Andy J. Keane, Jon Gregory, Marco Nunez. cad, 166:103629, January 2024. [doi]

2022

Multiresolution surface blending for detail reconstructionHono Salval, Andy J. Keane, David Toal. cgx, 6:200043, 2022. [doi]

2020

Robust design optimization using surrogate modelsAndy J. Keane, Ivan Voutchkov. jcde, 7(1):44-55, 2020. [doi]

Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimizationJolan Wauters, Andy J. Keane, Joris Degroote. jgo, 78(1):137-160, 2020. [doi]

2015

Genetic Programming, Logic Design and Case-Based Reasoning for Obstacle AvoidanceAndy J. Keane. lion 2015: 104-118 [doi]

2012

Enhancing infill sampling criteria for surrogate-based constrained optimizationJames M. Parr, Alexander I. J. Forrester, Andy J. Keane, Carren M. E. Holden. jcmse, 12(1-2):25-45, 2012. [doi]

2011

Towards an Intelligent Non-stationary Performance Prediction of Engineering SystemsDavid J. J. Toal, Andy J. Keane. lion 2011: 446-449 [doi]

2010

On the Coordination of Multidisciplinary Design Optimization Using Expert SystemsAndrew R. Price, Andy J. Keane, Carren M. E. Holden. lion 2010: 212-215 [doi]

Generative Topographic Mapping for Dimension Reduction in Engineering DesignAsha Viswanath, Alexander I. J. Forrester, Andy J. Keane. lion 2010: 204-207 [doi]

2008

Engineering Design via Surrogate Modelling - A Practical GuideAlexander I. J. Forrester, Andras Sobester, Andy J. Keane. Wiley, 2008. [doi]

Genetic Programming Approaches for Solving Elliptic Partial Differential EquationsAndras Sobester, Prasanth B. Nair, Andy J. Keane. tec, 12(4):469-478, 2008. [doi]

2007

Combining Global and Local Surrogate Models to Accelerate Evolutionary OptimizationZongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum. tsmc, 37(1):66-76, 2007. [doi]

2006

Constructing a speculative kernel machine for pattern classificationArindam Choudhury, Prasanth B. Nair, Andy J. Keane. NN, 19(1):84-89, 2006. [doi]

2005

Implementation and utilisation of a Grid-enabled problem solving environment in MatlabM. Hakki Eres, Graeme E. Pound, Zhuoan Jiao, Jasmin L. Wason, Fenglian Xu, Andy J. Keane, Simon J. Cox. fgcs, 21(6):920-929, 2005. [doi]

On the Design of Optimization Strategies Based on Global Response Surface Approximation ModelsAndras Sobester, Stephen J. Leary, Andy J. Keane. jgo, 33(1):31-59, 2005. [doi]

2004

A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product DevelopmentDavid P. Dupplaw, David Brunson, Anna-Jane E. Vine, Colin P. Please, Susan M. Lewis, Angela M. Dean, Andy J. Keane, Marcus J. Tindall. jcise, 4(3):218-225, 2004. [doi]

Databases, Workflows and the Grid in a Service Oriented EnvironmentZhuoan Jiao, Jasmin L. Wason, Wenbin Song, Fenglian Xu, M. Hakki Eres, Andy J. Keane, Simon J. Cox. europar 2004: 972-979 [doi]

A Derivative Based Surrogate Model for Approximating and Optimizing the Output of an Expensive Computer SimulationStephen J. Leary, Atul Bhaskar, Andy J. Keane. jgo, 30(1):39-58, 2004. [doi]

Meta-Lamarckian learning in memetic algorithmsYew-Soon Ong, Andy J. Keane. tec, 8(2):99-110, 2004.

A service-oriented approach for aerodynamic shape optimisation across institutional boundariesWenbin Song, Yew-Soon Ong, Hee-Khiang Ng, Andy J. Keane, Simon J. Cox, Bu-Sung Lee. icarcv 2004: 2274-2279 [doi]

Numerical Optimisation as Grid Services for Engineering DesignGang Xue, Wenbin Song, Simon J. Cox, Andy J. Keane. grid, 2(3):223-238, 2004. [doi]

Developing Services for Design Optimisation on the GridGang Xue, Wenbin Song, Andy J. Keane, Simon J. Cox. IEEEscc 2004: 391-398 [doi]

2003

2002

Engineering Knowledge for Engineering Grid ApplicationsLiming Chen, Simon J. Cox, Carole A. Goble, Andy J. Keane, Angus Roberts, Nigel R. Shadbolt, Paul R. Smart, Feng Tao. euroweb 2002: [doi]

A Data Parallel Approach for Large-Scale Gaussian Process ModelingArindam Choudhury, Prasanth B. Nair, Andy J. Keane. sdm 2002: 95-111 [doi]

Grid Services in Action: Grid Enabled Optimisation and Design SearchSimon J. Cox, Richard P. Boardman, Liming Chen, Mihai Duta, M. Hakki Eres, Matt J. Fairman, Zhuoan Jiao, Michael Giles, Carole A. Goble, Graeme E. Pound, Andy J. Keane, Mark Scott, Nigel Shadbolt, Barry Tao, Jasmin L. Wason, Gang Xue. hpdc 2002: 413 [doi]

Component Based Problem Solving EnvironmentAnthony J. G. Hey, Juri Papay, Andy J. Keane, Simon J. Cox. europar 2002: 105-112 [doi]

Natural Language Processing for Expertise Modelling in E-mail CommunicationSanghee Kim, Wendy Hall, Andy J. Keane. ideal 2002: 161-166 [doi]

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer KernelsPrasanth B. Nair, Arindam Choudhury, Andy J. Keane. jmlr, 3:781-801, 2002. [doi]

The Development of a Grid Based Engineering Design Problem Solving EnvironmentA. D. Scurr, Andy J. Keane. iccS 2002: 881-889 [doi]

2001

The GRID: Computational and Data Resource Sharing in Engineering Optimisation and Design SearchSimon J. Cox, Matt J. Fairman, Gang Xue, Jasmin L. Wason, Andy J. Keane. icppw 2001: 207-212 [doi]

Using Document Structures for Personal Ontologies and User ModelingSanghee Kim, Wendy Hall, Andy J. Keane. um 2001: 240-242 [doi]

Some Greedy Algorithms for Sparse Nonlinear RegressionPrasanth B. Nair, Arindam Choudhury, Andy J. Keane. icml 2001: 369-376

1999

Topographical mapping assisted evolutionary search for multilevel optimizationMohammed A. El-Beltagy, Andy J. Keane. cec 1999: 660-665 [doi]

Using Self Organizing Maps and Genetic Algorithms for Model Selection in Multilevel OptimizationMohammed El-Beltagy, Andy J. Keane. ieaaie 1999: 137-144

Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and LimitationsMohammed El-Beltagy, Prasanth B. Nair, Andy J. Keane. gecco 1999: 196-203

1997

Pruning Backpropagation Neural Networks Using Modern Stochastic Optimisation TechniquesSlawomir W. Stepniewski, Andy J. Keane. nca, 5(2):76-98, 1997.

1996

Topology Design of Feedforward Neural Networks by Genetic AlgorithmsSlawomir W. Stepniewski, Andy J. Keane. ppsn 1996: 771-780

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