Genetic Programming Bibliography entries for Daniel Howard
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GP coauthors/coeditors:
Chris Baber,
Neville Stanton,
Robert J Houghton,
Simon C Roberts,
Richard Brankin,
Conor Ryan,
Karl A Benson,
Joseph Kolibal,
Adrian Brezulianu,
John James Collins,
Mark A Edwards,
Maarten Keijzer,
Giuliano Antoniol,
Clare Bates Congdon,
Kalyanmoy Deb,
Benjamin Doerr,
Nikolaus Hansen,
John H Holmes,
Gregory S Hornby,
James Kennedy,
Sanjeev Kumar,
Fernando G Lobo,
Julian F Miller,
Jason H Moore,
Frank Neumann,
Martin Pelikan,
Jordan B Pollack,
Kumara Sastry,
Kenneth O Stanley,
Adrian Stoica,
El-Ghazali Talbi,
Ingo Wegener,
Krzysztof Krawiec,
Mengjie Zhang,
Gearoid Murphy,
John Koza,
Genetic Programming Articles by Daniel Howard
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Daniel Howard and Adrian Brezulianu.
Capturing expert knowledge of mesh refinement in numerical methods of impact analysis by means of genetic programming.
Soft Computing, 15(1):103-110, 2011.
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Daniel Howard and Adrian Brezulianu and Joseph Kolibal.
Genetic programming of the stochastic interpolation framework: convection-diffusion equation.
Soft Computing, 15(1):71-78, 2011.
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Daniel Howard and Simon C. Roberts and Conor Ryan and Adrian Brezulianu.
Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network.
Journal of Biomedicine and Biotechnology, 2008:526343, 2008.
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Daniel Howard and Simon C. Roberts and Conor Ryan.
Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance.
Pattern Recognition Letters, 27(11):1275-1288, 2006.
Evolutionary Computer Vision and Image Understanding.
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Daniel Howard.
Innovating with Automatic Programming.
Journal of Defence Science, 8(2):76-82, 2003.
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Daniel Howard and Karl Benson.
Evolutionary computation method for pattern recognition of cis-acting sites.
Biosystems, 72(1-2):19-27, 2003.
Special Issue on Computational Intelligence in Bioinformatics.
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Daniel Howard and Simon C. Roberts and Richard Brankin.
Target detection in SAR imagery by genetic programming.
Advances in Engineering Software, 30(5):303-311, 1999.
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Genetic Programming Conference proceedings edited by Daniel Howard
Genetic Programming conference papers by Daniel Howard
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Daniel Howard.
Evomorph: Morphological Modularization in A.I. for Machine Vision Inspired by Embryology. In
2018 International Conference on Machine Learning and Data Engineering (iCMLDE), pages 163-166, Sydney, Australia, 2018. IEEE.
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Daniel Howard and Mark A. Edwards.
Explainable A.I.: The Promise of Genetic Programming Multi-run Subtree Encapsulation. In
2018 International Conference on Machine Learning and Data Engineering (iCMLDE), pages 158-159, Sydney, Australia, 2018.
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Daniel Howard.
A Tunable Deceptive Problem to Challenge Genetic and Evolutionary Computation and Other A.I.. In
2018 International Conference on Machine Learning and Data Engineering (iCMLDE), pages 160-162, Sydney, Australia, 2018.
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Daniel Howard and Conor Ryan.
Testing a Novel Attribute Grammar Genetic Programming Algorithm. In
Geuk Lee and Daniel Howard and Jeong Jin Kang and Dominik Slezak editors,
6th International Conference Convergence and Hybrid Information Technology, ICHIT 2012, volume 7425, pages 224-231, Daejeon, Korea, 2012. Springer.
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Daniel Howard and J. J. Collins.
Grammatical Genetic Programming: Application in Automatic Code Parallelization. In
Geuk Lee and Daniel Howard and Jeong Jin Kang and Dominik Slezak editors,
6th International Conference Convergence and Hybrid Information Technology, ICHIT 2012, volume 7425, pages 217-223, Daejeon, Korea, 2012. Springer.
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Daniel Howard and Conor Ryan and J. J. Collins.
Attribute Grammar Genetic Programming Algorithm for Automatic Code Parallelization. In
Geuk Lee and Daniel Howard and Dominik Slezak editors,
Proceedings of the 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011, volume 6935, pages 250-257, Daejeon, Korea, 2011. Springer.
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Daniel Howard.
A Method of Project Evaluation and Review Technique (PERT) Optimization by Means of Genetic Programming. In
2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security, BLISS '09, pages 132-135, 2009.
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C. Baber and N. Stanton and D. Howard and Robert J. Houghton.
Predicting the Structure of Covert Networks using Genetic Programming, Cognitive Work Analysis and Social Network Analysis. In
J. Ruiz editor,
NATO RTO Modelling and Simulation Group Symposium, page Paper 15, Brussels, Belgium, 2009.
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Daniel Howard.
Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example. In
Jingtao Yao and Pawan Lingras and Wei-Zhi Wu and Marcin S. Szczuka and Nick Cercone and Dominik Slezak editors,
Proceedings of the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, volume 4481, pages 508-517, Toronto, Canada, 2007. Springer.
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G. Murphy and C. Ryan and D. Howard.
[Seeding Methods for Run Transferable Libraries] Capturing Domain Relevant Functionality through Schematic Manipulation for Genetic Programming. In
Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), pages 769-772, Jeju Island, Korea, 2007. IEEE Press.
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Krzysztof Krawiec and Daniel Howard and Mengjie Zhang.
Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques. In
Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), pages 779-784, Jeju Island, Korea, 2007. IEEE Press.
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Daniel Howard.
Top Down Modelling with Genetic Programming. In
Mircea Gh. Negoita and Robert J. Howlett and Lakhmi C. Jain editors,
Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems Conference, KES 2004, Part III, volume 3215, pages 217-223, 2004. Springer.
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Daniel Howard and Karl Benson.
Evolutionary Computation Method for Promoter Site Prediction in DNA. In
E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors,
Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1690-1701, Chicago, 2003. Springer-Verlag.
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Daniel Howard and Karl Benson.
Promoter Prediction with a GP-Automaton. In
G\"unther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf editors,
Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume 2611, pages 44-53, University of Essex, England, UK, 2003. Springer-Verlag.
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Daniel Howard and Simon C. Roberts and Conor Ryan.
Machine Vision: Exploring Context With Genetic Programming. In
W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors,
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 756-763, New York, 2002. Morgan Kaufmann Publishers.
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Daniel Howard and Simon C. Roberts.
Application Of Genetic Programming To Motorway Traffic Modelling. In
W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors,
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1097-1104, New York, 2002. Morgan Kaufmann Publishers.
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Simon C. Roberts and Daniel Howard.
Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming. In
Stefano Cagnoni and Jens Gottlieb and Emma Hart and Martin Middendorf and G"unther Raidl editors,
Applications of Evolutionary Computing, Proceedings of EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN, volume 2279, pages 245-254, Kinsale, Ireland, 2002. Springer-Verlag.
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Daniel Howard and Simon C. Roberts and Conor Ryan.
The Boru Data Crawler for Object Detection Tasks in Machine Vision. In
Stefano Cagnoni and Jens Gottlieb and Emma Hart and Martin Middendorf and G"unther Raidl editors,
Applications of Evolutionary Computing, Proceedings of EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN, volume 2279, pages 222-232, Kinsale, Ireland, 2002. Springer-Verlag.
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Daniel Howard and Simon C. Roberts.
The Prediction of Journey Times on Motorways using Genetic Programming. In
Stefano Cagnoni and Jens Gottlieb and Emma Hart and Martin Middendorf and G"unther Raidl editors,
Applications of Evolutionary Computing, Proceedings of EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN, volume 2279, pages 210-221, Kinsale, Ireland, 2002. Springer-Verlag.
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Simon C. Roberts and Daniel Howard and John R. Koza.
Subtree Encapsulation Versus ADFs in Genetic Programming for the Even-5-Parity Problem. In
Erik D. Goodman editor,
2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 359-365, San Francisco, California, USA, 2001.
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Simon C. Roberts and Daniel Howard and John R. Koza.
Subtree encapsulation versus ADFs in GP for parity problems. In
Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors,
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page 186, San Francisco, California, USA, 2001. Morgan Kaufmann.
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Daniel Howard and Simon C. Roberts and Conor Ryan.
Evolution of an Object Detection Ant for Image Analysis. In
Erik D. Goodman editor,
2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 168-175, San Francisco, California, USA, 2001.
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Simon C. Roberts and Daniel Howard and John R. Koza.
Evolving modules in Genetic Programming by subtree encapsulation. In
Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors,
Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 160-175, Lake Como, Italy, 2001. Springer-Verlag.
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Daniel Howard and Simon C. Roberts.
Genetic Programming solution of the convection-diffusion equation. In
Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors,
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 34-41, San Francisco, California, USA, 2001. Morgan Kaufmann.
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Daniel Howard and Simon C. Roberts.
Evolution of Mesh Refinement Rules for Impact Dynamics. In
Proceedings of the 2000 Congress on Evolutionary Computation CEC00, pages 1297-1303, La Jolla Marriott Hotel La Jolla, California, USA, 2000. IEEE Press.
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Simon C. Roberts and Daniel Howard.
Genetic Programming for Image Analysis: Orientation Detection. In
Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors,
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 651-657, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann.
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Simon C. Roberts and Daniel Howard.
Evolution of Vehicle Detectors for Infrared Linescan Imagery. In
Riccardo Poli and Hans-Michael Voigt and Stefano Cagnoni and Dave Corne and George D. Smith and Terence C. Fogarty editors,
Evolutionary Image Analysis, Signal Processing and Telecommunications: First European Workshop, EvoIASP'99 and EuroEcTel'99, volume 1596, pages 110-125, Goteborg, Sweden, 1999. Springer-Verlag.
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Daniel Howard and Simon C. Roberts and Richard Brankin.
Evolution of Ship Detectors for Satellite SAR Imagery. In
Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors,
Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 135-148, Goteborg, Sweden, 1999. Springer-Verlag.
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Daniel Howard and Simon C. Roberts.
Evolving object detectors for infrared imagery: a comparison of texture analysis against simple statistics. In
Kaisa Miettinen and Marko M. Makela and Pekka Neittaanmaki and Jacques Periaux editors,
Evolutionary Algorithms in Engineering and Computer Science, pages 79-86, Jyvaskyla, Finland, 1999. John Wiley \& Sons.
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Daniel Howard and Simon C. Roberts.
A Staged Genetic Programming Strategy for Image Analysis. In
Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors,
Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1047-1052, Orlando, Florida, USA, 1999. Morgan Kaufmann.
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Daniel Howard.
Why Genetic Programming for solution of partial differential equations?. In
John R. Koza editor,
Late Breaking Papers at the Genetic Programming 1998 Conference, pages 66-66, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore.
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Daniel Howard and Simon C. Roberts and Richard Brankin.
Target Detection in SAR Imagery by Genetic Programming. In
John R. Koza editor,
Late Breaking Papers at the Genetic Programming 1998 Conference, pages 67-75, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore.
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Genetic Programming book chapters by Daniel Howard
Genetic Programming technical reports by Daniel Howard
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Daniel Howard.
Genetic Programming visitation scheduling in lockdown with partial infection model that leverages information from COVID-19 testing. Technical report,
ITLAB-TR-2020-02,
ITLab, Inha University, Room 1301, HITECH Building, 100, Inha-ro, Nam-gu, Incheon, South Korea, 2020.
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Genetic Programming other entries for Daniel Howard
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Daniel Howard.
Genetic Programming visitation scheduling solution can deliver a less austere COVID-19 pandemic population lockdown. 2020.
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Daniel Howard and Joseph Kolibal.
Solution of differential equations with Genetic Programming and the Stochastic Bernstein Interpolation. 2005.
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