Beatrice Ombuki-Berman
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Research Interests
- Computational intelligence techniques: Genetic Algorithms (primary), artificial neural networks, swarm intelligence, hybrid systems
- Applied combinatorial optimization
If you are interested in an MSc. study or Honors 4F90 project in these areas, send me an email or drop by my office:-)
Education
- PhD: University of the Ryukyus, Japan
- ME: University of the Ryukyus, Japan
- BSc: Jomo Kenyatta University of Agriculture and Technology, Kenya
- Japanese Language: Osaka University for Foreign Studies
Recent Publications
Journal Articles
- Franklin Hanshar and Beatrice Ombuki.
"Dynamic Vehicle Routing using Genetic Algorithm", To appear 2007 - Beatrice Ombuki, Brian J. Ross and Franklin Hanshar.
"Multi-Objective Genetic Algorithms for Vehicle Routing Problems with Time Windows".
Applied Intelligence, 24(1):17-30, February 2006. - Mario Ventresca and Beatrice Ombuki
"A Genetic Algorithm for the Design of Two Connected Networks with Bounded Rings"
Computational Intelligence and Applications, Special Issue on Nature-Inspired Approaches to Networks and Telecommunications, 5(2):267-281, November 2005. - Beatrice Ombuki and Mario Ventresca.
"Local Search Genetic Algorithm for the Job Shop Scheduling Problem"
Journal of Applied Intelligence 21 (1): 99-109, July 2004.
Conference Proceedings
- M. Ventresca, B. Ombuki.
" Search Space Analysis of Recurrent Spiking and Continuous-time Neural Network".
Proceedings of International Joint Conference on Neural Networks , (IJCNN), pp:8947-8954, Vancouver, Canada, 2006. - Mario Ventresca and Beatrice M. Ombuki.
"Ant Colony Optimization for Job Shop Scheduling Problem".
Proceedings of 8th IASTED Intl. Conf. On Artificial Intelligence and Soft Computing, (ASC 2004) 451-152. Marbella,Spain, ed. A.P.del Pobil, ACTA Press, September 2004.
Recent M.Sc. Graduate Student Thesis
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Mario Ventresca
"The Evolution of Continuous-time and Spiking Recurrent Neural Networks on Mutation Landscapes".
University of Guelph, September 2005.