This paper studied the pricing problem of crowdsourcing model from the perspective of participants, which included enterprises, crowdsourcing platforms and members. On the basis of considering membership credibility and task aggregation degree, it designed an allocation pricing scheme for crowdsourcing tasks with geographical factor. Guided by service cost, task value, member income, it constructed a multi objective programming model by combining different tasks, and designed the elitism bee colony algorithm for the model. In this algorithm, through the use of nectar source information and considering the improvement of bees, it significantly improved the search efficiency. Then analyzing E-commerce enterprise operation data, this paper got crowdsourcing membership characteristics, task completion rate and other basic information, and carried out the simulation experiment. Simulation results show that the task packaging pricing strategy has significant advantages in task completion rate, enterprise total cost, and the three parts total revenue. Through the model and data experiments, it can be seen that crowdsourcing has its own characteristics in pricing and publishing. For nondifferentiated services, it only needs to consider the reputation of members, for differentiated services, the task assignment needs to be packaged.

[2019-04-05] Printed Article /doc/2017.11.0748/v2