TY  - GEN
AU  - Wesam Samy Mohammed Elshamy
AU  - Ahmed Bahgat Gamal Bahgat , 
AU  - Hassan Mohammed Rashad , 
TI  - Using Artificial Intelligence Models in System Identification / 
PY  - 2007///
CY  - Cairo : 
PB  - Wesam Samy Mohammed Elshamy , 
KW  - Evolutionary computation
KW  - Genetic algorithms
KW  - Particle swarm optimization
N1  - Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Electrical Power and Machines; Issued also as CD
N2  - In this research , Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods are modified to best suit the multimodal problem of system identification.In the first case , an extension to the basic GA was deployed by introducing redundant genetic material.While in the second case , the Clubs - based PSO (C - PSO) dynamic neighborhood structure was introduced.These models were used in the system identification problem of an induction motor.The results showed the superior performance of the PSO over the GA.Moreover , the C - PSO topology used significantly outperformed the other static topologies
ER  -