Cluster Based Multi-Populations Genetic Algorithm in Noisy Environment

To extend GA´s application, that is important to study on genetic algorithm under noise environment. This paper firstly described the noise environment of the GA, analyzed the effect on GA of noise; then two indexes were proposed to evaluate the performance of GA in the noisy environment, CBMPGA was proposed for the noisy optimization, the numerical experiment shows that the performance of CBMPGA is better than EGA and DCGA.