IT Outsourcing Schedule Risk Control Based on Two-Level Hybrid Genetic Algorithm

被引：0
|
作者：
Wang L.-Z. [1 ,2 ]
Zhu J.-W. [1 ]
Lu F.-Q. [1 ,2 ]
Wang D.-W. [1 ]
机构：
[1] School of Information Science & Engineering, Northeastern University, Shenyang
[2] School of Management, Northeastern University at Qinhuangdao, Qinhuangdao
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2019年 / 40卷 / 02期
关键词：
Genetic algorithm; Hybrid algorithm; IT outsourcing; Schedule risk control; Simulated annealing;
D O I：
10.12068/j.issn.1005-3026.2019.02.003
中图分类号：
学科分类号：
摘要：
Focusing on the optimization problem of schedule risk control in information technology(IT)outsourcing project, a two-level hybrid genetic algorithm(TLHGA)is proposed. The TLHGA incorporates simulated annealing, adaptive mechanism and the two-level feature of optimization problem to improve the traditional genetic algorithm(TGA), which could overcome the shortcomings of TGA such as early mature and weak local searching ability. In the experimental analyses, the management meanings of the two-level mathematical model in IT outsourcing schedule risk control is analyzed. Next, the simulation results of TLHGA are compared with the TGA and two-level particle swarm optimization algorithm, which verifies the rationality and effectiveness of the improved algorithm. © 2019, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：164 / 168and179
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