The Genetic Algorithm (GA) requires randomized initial population so as to give requisite results. The work proposes the use of Cellular Automata (CA) to generate the initial population for GA. The numbers generated by clubbing these two processes will make a better set of random numbers as compared to existing methodologies. The quality of the random numbers generated has been tested by Gap Te...

A method using genetic algorithms for path generation have been proposed; however, this method is limited to particular applications, and there are limitations on the types of paths that can be represented. This paper therefore proposes a path generation method that is applicable to more general-purpose applications compared to previous methods based on a new design of the genotype used in the ...

-This paper deals with the active power filter design controlled by using hysteresis technique. The genetic algorithm is used to design the controllers to minimize the %THD of the source current. The results are compared with that designed from Ingram and Round approach. The simulation results confirm that the genetic algorithm can provide the minimum %THD of the source current compared with th...