Publications

Thorsten Schnier /Cercia/School of Computer Science

Patents

• T. Schnier, X. Yao, P. Zhang and B. Sendhoff, 2008: Self-adaptation of the representation of a real-world design in an iterative optimization, WO 2008122412 (Patent Application)
• X. Yao and T. Schnier, 2008: Hardware Design Using Evolutionary Algorithms, WO 02075650

2012

• H. Ma, H. Xu, T. Schnier, J. Wang, G. Tian, 2011: A Real-time Control Oriented HCCI Combustion Model in 4-Stroke HCCI/SI GDI Engine and Model-based Fast Calibration Development, Society of Automotive Engineers (SAE) World Congress 2012 (to be published)

2011

• C.P.Bowers, T. Schnier, J. Wright, M. De Felice, 2011: Evolutionary Parameter Identification of a Building Thermal Model using Energy Consumption Data Applied Soft Computing (submitted)
• Z.Yang, X.Li, C.Bowers, T.Schnier, K.Tang. X.Yao, 2011: An Efficient Evolutionary Approach to Parameter Identification in Building Thermal Model IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews DOI: 10.1109/TSMCC.2011.2174983 (to be published)
• F. Bhat, M. Oussalah, K. Challis and T. Schnier, 2011: A Software System for Data Mining with Twitter10th IEEE International Conference on Cybernetic Intelligent Systems 2011, London, September 2011

2010

• X.Li, C.P. Bowers, and T. Schnier, 2010: Classification of Energy Consumption in Buildings with Outlier Detection IEEE Transactions on Industrial Electronics, Vol. 57, No. 11 . DOI: 10.1109/TIE.2009.2027926 Preprint (pdf)

2008

• W. Byrne, T. Schnier, & R.J. Hendley, 2008: Computational Intelligence and Case-Based Creativity in Design in Poceedings of 5th International Joint Workshop on Computational Creativity Madrid. I.S.B.N. 978-84-92539-00-0 pdf
• X. Wang, T. Schnier and X. Yao, 2008: Automatic feature-queried bird identification system based on entropy and fuzzy similarity. Expert Syst. Appl. 34, 4 (May. 2008), 2879-2884. DOI= http://dx.doi.org/10.1016/j.eswa.2007.05.045 pdf
• T. Schnier, 2008: Evolving out of the Box NSF International Workshop Studying Design Creativity -Design Science, Computer Science, Cognitive Science and Neuroscience Approaches: The State of the Art Provence, France, 03/10/2008
pdf
• T. Schnier, C.P.Bowers, and X. Li, 2008: Advanced Metering - Beyond Data Collection In: Universitas 21 - International Conference on Energy Technologies and Policy, Birmingham, 7-10 September 2008

2007

• T. Yates and T. Schnier, 2007: Non-separable Fitness Functions for Evolutionary Shape Optimization Benchmarking in Proceedings of the 2007 Congress on Evolutionary Computation 2893-2900 pdf
• P. Zhang, X. Yao, L. Jia, B. Sendhoff and T. Schnier, 2007: Target Shape Design Optimization by Evolving Splines in Proceedings of the 2007 Congress on Evolutionary Computation IEEE Press 2009-2016 pdf
• T. Schnier et al, 2007: Nature Inspired Creative Design - Bringing Together Ideas from Nature, Computer Science, Engineering, Art, Design in Tom Innes (ed) Designing for the 21st Century: Questions and Issues Gower Ashgate,192-204 pdf

2006

• T. Schnier et al, 2006: Nature Inspired Creative Design - Bringing Together Ideas from Nature, Computer Science, Engineering, Art, Design in I.C.Parmee (ed) Adaptive Computing in Design and Manufacture, Proceedings of the Seventh International Conference (ACDM 2006) pp 237-240. The Institute for People Centred Computation, Bristol ISBN: 978-0-9552885-0-0 pdf
• T.Schnier, 2006: Bringing Together Ideas from Nature, Computer Science, Engineering, Art, Design in Tom Innes and Vicky Hale (ed) Design Dialogs, Designing for the 21st Century, London, 7 March 2006, p 21. Duncan of Jordanstone College of Art and Design, Dundee, ISBN 1 889 837
• T. Schnier, 2006: Machine Learning for Cluster Performance Prediction Cercia Business Assist Report 2005/6-III-47 Cercia, School of Computer Science, University of Birmingham, January 2006

2005

• N. Samways and T. Schnier, 2005: Automatic selection in Evolutionary Art Workshop on Creative Evolutionary Computation, Goldsmiths College, 14th February 2005 ppt
• T. Schnier, 2005: Route Optimization: HPCC use Cercia Business Assist Report December 2005
• T. Schnier, 2005: Case based design in a small design firm CERCIA Business Assist Report, September 2005
• T. Schnier, 2005: Open Source OpenInventor options Cercia Business Assist Report June 2005
• T. Schnier, 2005: Natural Computation Techniques for Bird Species Identification, CERCIA Business Assist Report, April 2005
• T. Schnier, 2005: Artificial Immune System based network intrusion detection, CERCIA Business Assist Report, January 2005
• T. Schnier, 2005: Intelligent Project Tracking and Prediction, CERCIA Business Assist Report, January 2005

2004

• T. Schnier, X. Yao and P. Liu, 2004 Digital filter design using multiple pareto fronts, Soft Computing, 8(5):332-343, April 2004. pdf.
• T. Schnier, 2004: Novel Music-learning technologies, CERCIA Business Assist Report, November 2004
• T. Schnier, 2004: Computational Intelligence Solutions for Precision Machining and the Engineering Sector, CERCIA Business Assist Report, August 2004
• T. Schnier, 2004: Computational Intelligence for Sculpture and Creative Arts, CERCIA Business Assist Report, July 2004

2003

• T. Schnier and X. Yao, 2003: Using negative correlation to evolve fault-tolerant circuits. In Proc. of the 5th International Conference on Evolvable Systems: From Biology to Hardware (ICES'2003), Lecture Notes in Computer Science, Vol. 2606, A. M. Tyrrell, P. C. Haddow and J. Torresen (Eds.), Springer-Verlag, March 2003, pp.35-46. pdf
• T. Schnier 2003: Outlier Detection in Power Consumption Data using K-Means Clustering, CERCIA Business Assist Report, August 2004
• T. Schnier 2003: Nature-Inspired Algorithms for Visual Arts, CERCIA project proposal, April 2003

2001

• X. Yao and T. Schnier, 2001: Hardware Design Using Evolutionary Algorithms, Patent Application, PCT WO02075650
• T. Schnier, X. Yao and P. Liu, 2001: Digital Filter Design Using Multiple Pareto Fronts, Proceedings of the Third NASA/DoD Workshop on Evolvable Hardware, pp.136-145, IEEE Computer Society Press, July 2001. pdf
• T. Schnier and X. Yao, 2001: Evolutionary Design Calibration, Proceedings of the 4th International Conference on Evolvable Systems (ICES-2001), LNCS 2210, pp.26-37, Tokyo, Japan, October 3-5, 2001. pdf

2000

• T. Schnier and X. Yao, 2000: Using Multiple Representations in Evolutionary Algorithms, Proceedings of the 2000 Congress on Evolutionary Computation, IEEE Press, Piscataway, NJ, USA, July 2000. pp.479-486.pdf.

1999

• T. Schnier, 1999: Evolved Representations and Their Use in Computational Creativity Ph.D. Thesis, Faculty of Architecture, University of Sydney pdf

1998

• T. Schnier, and J. S. Gero, 1998: From Frank Lloyd Wright to Mondrian: Transforming evolving representation, in I. C. Parmee (ed.), Adaptive Computing in Design and Manufacture, Springer Verlag, Berlin, pp. 207-219. pdf

1997

• J.S. Gero, V. Kazakov, and T. Schnier, 1997: Genetic engineering and design problems, in D. Dasgupta and Z. Michalewicz (eds), Evolutionary Algorithms in Engineering Applications, Springer Verlag, Berlin, pp.47-68. pdf
• T. Schnier and J.S. Gero, 1997: Dominant and recessive genes in evolutionary systems applied to spatial reasoning, in A. Sattar (ed.), Advanced Topics in Artificial Intelligence: 10th Australian Joint Conference on Artificial Intelligence AI97 Proceedings, Springer, Heidelberg, pp. 127-136.pdf

1996

• T. Schnier, and J.S. Gero, 1996: Learning genetic representations as alternative to hand-coded shape grammars, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design'96, Kluwer, Dordrecht, pp.39-57 pdf
• T. Schnier and J.S. Gero, 1996: Learning representations for creative design using evolution, AIEDAM 10:175-177.
• J.S. Gero., V. Kazakov and T. Schnier, 1996:The genetic engineering of evolutionary systems in design, AID'96 Workshop on Evolutionary Systems, Stanford University, Stanford, pp. 47-53.
• J.S. Gero, V. Kazakov, and T. Schnier, 1996: Evolving design genes as well as design solutions, in J. Vanegas and P. Chinowski (eds), Computing in Civil Engineering, ASCE, New York, pp. 84-90.

1995

• T. Schnier and J.S. Gero, 1995: Learning representations for evolutionary computation, in X. Yao (ed.) Eighth Australian Joint Conference on Artificial Intelligence, World Scientific, Singapore, pp.387-394. pdf
• J.S. Gero and T. Schnier, 1995: Evolving representations of design cases and their use in creative design, in J. S. Gero, M. L. Maher and F. Sudweeks (eds), Preprints Computational Models of Creative Design , Key Centre of Design Computing, University of Sydney, pp. 343-368. pdf

1994

• P. Williams and T. Schnier, 1994: The Harvard Family of Bibliography Styles June 1994 tar.gz

1993

• C.-E. Liedtke, T. Schnier and A. Blömer, 1993: Automated Learning of Rules Using Genetic Operators . Proceedings of the 5th International Conference on Computer Analysis of Images and Patterns 1993: pp 327-334 pdf
• T. Schnier, 1993: Untersuchung der Eignung genetischer Algorithmen zum Erlernen hochsprachlicher Regeln für die wissensbasierte Konfiguration von Bildanalyseprozessen, Diplomarbeit am Institut für Theoretische Nachrichtentechnik und Informationsverarbeitung der Universität Hannover, April 1992.