Wesam Samy Mohammed Elshamy <br/><br/>
Using Artificial Intelligence Models in System Identification /  
 استخدام نماذج الذكاء الاصطناعي في التعرف على النظم 
Wesam Samy Mohammed Elshamy ; Supervised Ahmed Bahgat Gamal Bahgat , Hassan Mohammed Rashad 
 - Cairo :   Wesam Samy Mohammed Elshamy ,   2007 
 - 155P. :   charts ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Electrical Power and Machines 
<br/><br/> 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. 
<br/><br/>
<br/><br/><label>Subjects--Index Terms: </label>Evolutionary computation Genetic algorithms Particle swarm optimization