11
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 ...
Get Intelligent Automatic Generation Control now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
