Andrew R. McIntyre, Ph.D.
Adjunct Research Associate Professor.
Faculty of Computer Science, Dalhousie University.

Publications

Selected Refereed Publications:

  1. Sara Rahimi, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood: Label free change detection on streaming data with cooperative multi-objective genetic programming. GECCO (Companion) 2013.

  2. Doucette, J. A., McIntyre, A. R., Lichodzijewski, P, Heywood, M. I., Symbiotic Coevolutionary Genetic Programming: A Benchmarking Study under Large Attribute Spaces. Genetic Programming and Evolvovable Machines, Springer Verlag. To appear, 2012.

  3. McIntyre, A. R., Heywood, M. I., Classification as Clustering: A Pareto Cooperative-Competitive GP Approach. Evolutionary Computation, MIT Press, Spring 2011, Vol. 19, No. 1, Pages 137-166.

  4. McIntyre, A. R., Heywood, M. I., Pareto Cooperative-Competitive GP: A Robust Scalable Framework for Classification. Genetic Programming Theory and Practice VI, Springer Verlag. Riolo, Rick; Soule, Terence; Worzel, Bill (Eds.) 2009, XIV, 274 p. 100 illus., 2009.

  5. McIntyre, A. R., Heywood, M. I., Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. The Eleventh European Conference on Genetic Programming (Euro GP 2008), 2008.

  6. McIntyre, A. R., Heywood, M. I., Multi-Objective Competitive Coevolution for Efficient GP Classifier Problem Decomposition. Proceedings of IEEE International Conference on Systems, Man and Cybernetics (SMC 2007), 2007.

  7. McIntyre, A. R., Heywood, M. I., MOGE: GP Classification Problem Decomposition using Multi-objective Optimization. Proceedings of Genetic and Evolutionary Computation Conference 2006 (GECCO 2006), 2006.

  8. McIntyre, A. R., Heywood, M. I., Toward Co-evolutionary Training of a Multi-class Classifier. Proceedings of IEEE Congress on Evolutionary Computation 2005 (CEC 2005), 2005.

  9. Jin Yu, Syed Sibte Raza Abidi, Paul Habib Artes, Andrew McIntyre, Malcolm Heywood, Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma. Proceedings of IEEE International Symposium on Computer-Based Medical Systems (CBMS 2005), 2005.

  10. McIntyre, A. R., Heywood, M. I., On Multi-class Classification by way of Niching. Proceedings of Genetic and Evolutionary Computation Conference 2004, Lecture Notes in Computer Science, Springer Verlag, 2004 .3

  11. McIntyre, A. R., Heywood, M. I., Toward Glaucoma Classification by way of Moment Methods. Proceedings of the IEEE Canadian Conference on Computer and Robot Vision 2004 (CRV 2004). pp. 265-273, May 2004.1

  12. Wilson, G. C., McIntyre, A. R., Heywood, M. I., Resource Review: Three Open Source Systems for Evolving Programs: Lilgp, ECJ and Grammatical Evolution. Genetic Programming and Evolvable Machines, Eds. Wolfgang Banzhaf, William B. Langdon, Kluwer Academic Press, The Netherlands, Volume 5, Issue 1. pp. 103-106, Mar 2004.2

  13. McIntyre, A. R., Heywood, M. I., A Grammatical Evolution Multi-Classifier through Crowding. Late Breaking Papers of Genetic and Evolutionary Computation Conference 2003. Jul 12-16, 2003.

  14. McIntyre, A. R., Heywood, M. I., Exploring Content-Based Image Indexing Techniques in the Compressed Domain. Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2002 (CCECE 2002). Volume 2, pp. 957 - 962, May 2002.1

Theses / Technical Reports / Abstracts:

  1. McIntyre, A. R. Heywood, M. I. A Co-evolutionary Classification Framework for Genetic Programming.Bluenoe Neumerical Analysis Day, Dalhousie University Department of Math, Halifax,Nova Scotia, June 2008.

  2. McIntyre, A. R., Heywood, M. I. Classification in Genetic Programming; a Cooperative / Competitive Coevolution Approach. D-Drive / IRMACS Coast-To-Coast Seminar Series, Dalhousie University Faculty of Computer Science, March 2008.5

  3. McIntyre, A. R. Novelty Detection + Coevolution = Automatic Problem Decomposition: A Framework for Scalable Genetic Programming Classifiers. Ph.D. Thesis, Dalhousie University Faculty of Computer Science, Nov. 2007.4

  4. McIntyre, A. R. Scaling Genetic Programming Classifiers Using Parasite Models and Multi-Objective Optimization. Ph.D. Thesis Proposal Defence, Dalhousie University Faculty of Computer Science, Jul. 2006.4

  5. McIntyre, A. R., Heywood, M. I., Multi-Objective Classification in the Medical Domain using Genetic Programming. Proceedings of IS2006: 16th Annual Canadian Conference on Intelligent Systems. Victoria, BC, June 2006.

  6. McIntyre, A. R. On Image Classification Using Methods of Moments and Genetic Programming. Ph.D. Research Aptitude Exam, Dalhousie University Faculty of Computer Science, Apr. 2004.

  7. McIntyre, A. R., Heywood, M. I., Classification with Grammatical Evolution. Proceedings of the 2nd Annual Dalhousie Computer Science In-House Conference, DCSI 2003. Sept. 2003.

  8. McIntyre, A. R., Heywood, M. I., On the Significance of Spatial Image Indexing. Technical Report, Dec. 2003.

1 Document available through IEEE Xplore ®.
2 Document available through Kluwer Academic Publishers.
3 Document available through Springer Verlag.
4 Document available locally.
5 Document available though D-Drive.


Faculty of Computer Science (FCS), Dalhousie University
Mail: 6050 University Avenue, Halifax N.S.  B3H 1W5
Phone: +1 902 494 2652, Fax: +1 902 492 1517
Office: 213 (2nd Floor FCS, NIMS lab)
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