Brian J. Ross

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Brian J. Ross ist ein kanadischer Computerwissenschaftler, der u.a. in den Bereichen Evolutionary Computation, Genetic Programming Evolutionary Design, Evolutionary Art und Computational Aesthetics forscht. Er hat am Department of Computer Science an der Brock University eine Professur inne.

Wissenschaftliche Tätigkeit

PhD Dept. of Artificial Intelligence Nov 1992 University of Edinburgh (Edinburgh, Scotland)

MSc Dept. of Computer Science Oct 1988 University of British Columbia (Vancouver, Canada)

BCSc (Hon) Dept. of Computer Science University of Manitoba (Winnipeg, Canada)

Research interests

AI: computational intelligence, genetic programming, evolutionary computation, multi-objective optimization

AI applications: biological modeling, evolutionary design

Research description

I am active in evolutionary design research, and the new fields of computational aesthetics and creativity. One research project explored the evolution of image filters, which attempt to duplicate a target colour palette. We incorporated a mathematical model of aesthetics, with the goal of evolving visually pleasing images. Recently we extended this research to incorporate ideas from work in non-photorealistic rendering.

We are also doing research in the evolutionary design of 3D models, and have considered building architectures, floor plan designs, and generalized 3D model generation using aesthetic models. Other research has used genetic programming to evolve procedural textures for 3D surfaces, and vector graphics images.

Another research area of interest is the automatic synthesis of bio-networks encoded in stochastic process algebra, as well as higher-level bio-network modeling languages such as logical gene gates and PIM. The goal is to automatically synthesize bio-networks that could generate given time-course data, for example, changing protein levels over time. This research needs to consider the evaluation of often noisy time-course data, which is best characterized by statistical analyses. The research also makes use of high-dimensional multi-objective strategies, as well as grammatical modeling of target languages for genetic programming.

To support my research, I developed a Prolog-based genetic programming system called DCTG-GP (Definite Clause Translation Grammar for Genetic Programming). DCTG-GP lets the user define their target language using a logical CFG. This environment permits the languages grammar, semantics and constraints to be unified together.

Other topics of interest include multi-objective optimization, highly parallel genetic programming, and others.

Künstlerische Tätigkeit



M. Maghoumi and Brian J. Ross: Feature Extraction Languages and Visual Pattern Recognition. IEEE SSCI 2014, Orlando, FL, Dec 2014.

M. Baniasadi and Brian J. Ross: Non-photorealistic rending using genetic programming. Winner of the GECCO 2014 Evolutionary Art, Design and Creativity Competition. Vancouver, BC, July 2014


A. Harrington and Brian J. Ross: Generative Representations for Artificial Architecture and Passive Solar Performance. CEC 2013, Cancun, Mexico, June 2013.


Brian J. Ross: Evolutionary Learning and Stochastic Process Algebra. In: N.M. Seel (ed.): Encyclopedia of the Sciences of Learning, Springer, 2012.

D. McCarney, S. Houghten, and Brian J. Ross: Evolutionary Approaches to the Generation of Optimal Error Correcting Codes. GECCO 2012, Philadelphia, PA, July 2012.


J. Imada and Brian J. Ross: Evolutionary Synthesis of Stochastic Gene Network Models using Feature-based Search Spaces. New Generation Computing, v.29, n.4, Oct 2011, pp. 365-390.


Steven Bergen, Brian J. Ross: Evolutionary Art Using Summed Multi-Objective Ranks. In: R. Riolo, T. McConaghy, E. Vladislavleva (eds.): Genetic Programming Theory and Practice VIII, Springer, 2010, pp. 227-244.

Brian J. Ross and J. Imada: Using Multi-objective Genetic Programming to Synthesize Stochastic Processes. In: R. Riolo, U.-M. O'Reilly and T. McConaghy (eds.): Genetic Programming Theory and Practice VII, Springer, 2010, pp.159-175.

Steven Bergen, Brian J. Ross: Evolutionary Art using Summed Multi-Objective Ranks. Genetic Programming Theory and Practice Workshop, Ann Arbor, MI, May 2010.


Craig Neufeld; Brian J. Ross; William Ralph: The Evolution of Artistic Filters. In: Juan Romero; Penousal Machado: The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music. Springer, Berlin, 2007, S. 335-356. DOI:


Brian J. Ross and E. Zuviria: Evolving Dynamic Bayesian Networks using Multi-objective Genetic Algorithms. Applied Intelligence, v.26, n.1, Feb 2007, pp. 13-23. DOI:


C. Neufeld, Brian J. Ross and W. Ralph: The Evolution of Artistic Filters. (poster). Evolutionary Art competition, CEC 2006, Vancouver, BC, July 2006



A. Hewgill and Brian J. Ross: Procedural 3D Texture Synthesis Using Genetic Programming. Computers and Graphics Journal, vol.28, n.4, 2004, pp.569-584.

Brian J. Ross and H. Zhu: Procedural Texture Evolution Using Multiobjective Optimization. New Generation Computing, vol. 22, n. 3, 2004, pp. 271-293. DOI:






Brian J. Ross: The Evolution of Concurrent Systems. In: L.C. Jain (ed.): Evolution of Engineering and Information Systems and Their Applications, CRC Press, 1999, pp. 31-64.


Brian J. Ross: The Evolution of Concurrent Programs. Applied Intelligence, v.8, n.1, Jan 1998, pp. 21-32. DOI:


Brian J. Ross: Running Programs Backwards: the Logical Inversion of Imperative Computation. Formal Aspects of Computing Journal, vol. 9, 1997, pp. 331-348.


S. Brooks and Brian J. Ross: Automated Composition from Computer Models of Biological Behavior. Leonardo Music Journal, Volume 6, 1996, pp. 27-31.

Robert Pringle and Brian J. Ross: A Symbiosis of Animation and Music. ICMC 1996, Hong Kong, Aug 1996, pp. 316-319.


Brian J. Ross: MWSCCS: A Concurrent Stochastic Music Language. Second Brazilian Symposium on Computer Music, Canela, Brazil, July 1995.

Brian J. Ross: PAC Learning of Interleaved Melodies. 1995 IJCAI Workshop on Music and Artificial Intelligence, August 1995, pp. 96-100.

Brian J. Ross: A Process Algebra for Stochastic Music Composition. ICMC 1995, ICMC 1995, pp. 448-451.

Brian J. Ross: A Process Algebra for Stochastic Music Composition. Brock COSC TR CS-95-02, February 1995. 404 !!!!

R. Pringle and Brian J. Ross: A Symbiosis of Animation and Music. Brock COSC TR CS-95-04, December 1995. 404 !!!! addendum ZIP


Brian J. Ross: An Algebraic Semantics of Prolog Control. PhD thesis, Dept. of Artificial Intelligence, U. of Edinburgh, 1992.

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