Journal of Northeastern University(Natural Science)

Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (2): 164-169.DOI: 10.12068/j.issn.1005-3026.2019.02.003

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

WANG Lei-zhen1,2， ZHU Jin-wen1， LU Fu-qiang 1,2， WANG Ding-wei1   

  1. 1. School of Information Science & Engineering， Northeastern University， Shenyang 110819， China; 2. School of Management， Northeastern University at Qinhuangdao， Qinhuangdao 066004， China.
  • Received:2017-11-20 Revised:2017-11-20 Online:2019-02-15 Published:2019-02-12
  • Contact: LU Fu-qiang
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Abstract: 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.

Key words: IT outsourcing, schedule risk control, hybrid algorithm, genetic algorithm, simulated annealing

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