An improved Genetic Algorithm and its application

An improved Genetic Algorithm (GA) named Head-and-Tail Alternate Crossover GA is proposed to overcome the inefficiency of conventional single-point crossover GA on the optimizing of multi-parameter system. The head-crossover and tail-crossover is used alternately in the algorithm, which ensure that the optimized probability of every parameter is approximately equal. The parameters of fuzzy governor PSS are optimized using the algorithm and the result indicate that the algorithm is more quickly and precisely than conventional GA.