MULTI OBJECTIVE ANALYSIS METHOD OF SOCIAL CHARACTERISTICS OF FOLK DANCE BASED ON IMPROVED DISCRETE ARTIFICIAL BEE COLONY ALGORITHM

In order to deeply study the social characteristics of folk dance and obtain more intuitive analysis results of ethnic cultural and sociological significance, a multi-objective analysis method of social characteristics of folk dance based on improved discrete artificial bee colony algorithm is proposed. This paper studies the social value of folk dance from the perspectives of social characteristics and social functions. On this basis, the basic theory of the improved discrete artificial bee colony algorithm is explored, and the multi-objective function conditions are constructed through the calculation of the target complexity to complete the multi-objective analysis method of the social characteristics of ethnic dance based on the improved discrete artificial bee colony algorithm. The results of comparative experiments show that compared with cloud computing analysis method, multi-objective analysis method can accurately analyze the social characteristics of folk dance, and obtain more intuitive sociological research value, which has strong application feasibility.