Portfolio construction using argumentation and hybrid evolutionary forecasting algorithms
International Journal of Hybrid Intelligent Systems - CIMA-08
Adaptive control of DC motor using bacterial foraging algorithm
Applied Soft Computing
Multivariate AR model order estimation with unknown process order
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
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In this paper, the multimodel partitioning theory is combined with genetic algorithms to produce a new generation of multimodel partitioning filters, whose structure varies to conform to a model set being determined dynamically and on-line by using a suitably designed genetic algorithm. The proposed algorithm does not require any knowledge of the model switching law, is practically implementable, and exhibits superior performance compared with a fixed-structure multimodel partitioning filter (MMPF), as indicated by simulation experiments