Chaos genetic algorithm optimization design based on linear motor

A new method of genetic chaos optimization combination is proposed after analyzing the advantages and disadvantages of genetic algorithm and chaos optimization method. The chaos optimization algorithm can overcome shortcomings of failure in a wide range and improve the local searching ability and accuracy of genetic algorithm, which proves that the algorithm can converge to the global optimum with a large probability. The satisfying results are obtained by applying the method for optimizing the test function.