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Mathematical Problems in Engineering
Volume 2017, Article ID 6916575, 17 pages
Research Article

Simulated Annealing Genetic Algorithm Based Schedule Risk Management of IT Outsourcing Project

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

Correspondence should be addressed to Hualing Bi; moc.621@180gnilauhib

Received 10 April 2017; Revised 20 July 2017; Accepted 3 August 2017; Published 28 September 2017

Academic Editor: M. L. R. Varela

Copyright © 2017 Fuqiang Lu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


IT outsourcing is an effective way to enhance the core competitiveness for many enterprises. But the schedule risk of IT outsourcing project may cause enormous economic loss to enterprise. In this paper, the Distributed Decision Making (DDM) theory and the principal-agent theory are used to build a model for schedule risk management of IT outsourcing project. In addition, a hybrid algorithm combining simulated annealing (SA) and genetic algorithm (GA) is designed, namely, simulated annealing genetic algorithm (SAGA). The effect of the proposed model on the schedule risk management problem is analyzed in the simulation experiment. Meanwhile, the simulation results of the three algorithms GA, SA, and SAGA show that SAGA is the most superior one to the other two algorithms in terms of stability and convergence. Consequently, this paper provides the scientific quantitative proposal for the decision maker who needs to manage the schedule risk of IT outsourcing project.