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Application of Genetic Algorithm in AGC Synthesis

 

Genetic algorithm (GA) is a numerical optimization algorithm that is capable of being applied to a wide range of optimization problems, guaranteeing the survival of the fittest. Time consumption methods such as trial and error for finding the optimum solution cause interest in meta-heuristic methods such as GA. The GA becomes a very useful tool for tuning of control parameters in AGC systems.

The GA begins with a set of initial random populations represented in chromosomes; each one consists of some genes (binary bits). These binary bits are suitably decoded to provide a proper string for the optimization problem. Genetic operators act on this initial population and regenerate the new ...

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