Brian Ross
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Research Interests
- AI: genetic programming, genetic algorithms
- GP Applications: process algebra, process modeling, computer graphics
My research is in the fields of genetic programming and genetic algorithms. I have been applying GP towards automatic synthesis of probabilistic networks, as modeled in stochastic process algebra. Probabilistic models in gene regulatory networks have been studied in this framework. I have also applied GP in problems in computer graphics and computer vision.
Member of the Bio-Inspired Computational Intelligence Group.
Education
- MSc University of British Columbia
- PhD University of Edinburgh
Recent Publications
Journals
- B.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.
- B.M. Ombuki, B.J. Ross, F. Hanshar. "A Multi-Objective Genetic Algorithm Approach to the Vehicle Routing Problem with Time Windows".
Applied Intelligence, v.24, n.1, Feb 2006, pp. 17-30. - A. Hewgill and B.J. Ross. "Procedural 3D Texture Synthesis Using Genetic Programming". Computers and Graphics Journal, vol.28, n.4, 2004, pp.569-584.
Conferences
- B. Ross, W. Ralph and H. Zong. "Evolutionary Image Synthesis Using a Model of Aesthetics". CEC 2006, Vancouver, BC, July 2006.
Book Chapters
- C. Neufeld, B.J. Ross, W. Ralph. "The Evolution of Artistic Filters". To be included in The Art of Artificial Evolution, P. Machado and J. Cardalda (eds.), Springer.