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Cloud design resources scheduling is a critical issue of the cloud design platform. In order to solve this problem, a scheduling model is established, setting cost, time and quality of service as optimization objectives, and considering the service state of cloud design resources as well. In this model, satisfaction of requests and load balancing of resources are constraints. A scheduling algorithm based on genetic algorithm is proposed. Scheduling scheme is coded in integer sequence, and a fitness function based on influence degree is designed. The genetic operations include selection, crossover, mutation and elitist selection. An optimal method is proposed according to the practical application. Finally, a resources scheduling problem in a cloud design platform proves the validity of the scheduling algorithm and the effectiveness of the optimization method.