Introduction - If you have any usage issues, please Google them yourself
Relative to the NSGA is concerned, NSGA-II has the following advantages: 1) put forward based on the classification of the new fast won the sorting algorithms, will computational complexity by to, among them: said the number of the objective function, said the number of individuals in a population 2) to calibrate the order quickly won after classification in the different elements ShiZhi, also to make accurate domain elements can spread to the whole field, and even in as much as possible, the literature [7] put forward the concept of crowded distance, the crowded distance is operator instead of need to calculate the parameters of the complex sharing ShiZhi sharing methods 3) introduced the optimal mechanisms, expanding the sampling space, the choice of the individual in breeding produced with his father generation to generation individual competition to produce the next generation of population, so to keep the fine individual, rapidly improve the whole level of population