Abstract: This paper experiments with the Yellow River Conservancy Technical Institute's curriculum schedule, by using the special function of Genetic Algorithm such as adaptive, random search and highly parallel to solve the curriculum schedule problem with constrained multi-objective optimization portfolio.This paper summarizes the essence of curriculum schedule problem and researches the operation of coding solution, cross-cutting program and collision detection of Genetic Algorithm.