Multi-objective evaluation and optimization on trustworthy computing

This is a preview of subscription content, access via your institution.


  1. 1

    Liu K, Shan Z G, Wang J, et al. Overview on major research plan of trustworthy software. Bulletin National Natural Sci Found China, 2008, 22: 145–151

    MathSciNet  Google Scholar 

  2. 2

    Tao H, Chen Y. A new metric model for trustworthiness of softwares. Telecommun Syst, 2012, 51: 95–105

    Article  Google Scholar 

  3. 3

    Wang J, Chen Y X, Gu B, et al. An approach to measure and grading software trust for spacecraft software (in Chinese). Sci Sin Tech, 2015, 45: 221–228

    Article  Google Scholar 

  4. 4

    Nguyen T P K, Beugin J, Marais J. Method for evaluating an extended fault tree to analyse the dependability of complex systems: application to a satellite-based railway system. Reliab Eng Syst Safe, 2015, 133: 300–313

    Article  Google Scholar 

  5. 5

    Mo Y C. A multiple-valued decision-diagram-based approach to solve dynamic fault trees. IEEE Trans Reliab, 2014, 63: 81–93

    Article  Google Scholar 

  6. 6

    Catelani M, Ciani L, Venzi M. Sensitivity analysis with MC simulation for the failure rate evaluation and reliability assessment. Measurement, 2015, 74: 150–158

    Article  Google Scholar 

  7. 7

    Xu M, Zhang L, Jansen D N, et al. Multiphase until formulas over Markov reward models: an algebraic approach. Theor Comput Sci, 2016, 611: 116–135

    MathSciNet  Article  MATH  Google Scholar 

  8. 8

    Zhu J X. A trustworthy software designing approach and credibility evaluation. Appl Mecha Mater, 2014, 513: 602–605

    Article  Google Scholar 

  9. 9

    Alexander P, Pike L, Loscocco P, et al. Model checking distributed mandatory access control policies. ACM Trans Inf Syst Secur (TISSEC), 2015, 18: 6

    Article  Google Scholar 

  10. 10

    Hu J, Lin C, Li X, et al. Scalability of control planes for software defined networks: modeling and evaluation. In: Proceedings of IEEE 22nd International Symposium of Quality of Service (IWQoS), Hong Kong, 2014. 147–152

    Google Scholar 

  11. 11

    Chen Y, Huang J, Lin C. Partial selection: an efficient approach for QoS-aware web service composition. In: Proceedings of IEEE International Conference onWeb Services (ICWS), Anchorage, 2014. 1–8

    Google Scholar 

  12. 12

    Lin C, Chen Y, Huang J, et al. A survey on models and solutions of multi-objective optimization for QoS in services computing. Chinese J Comput, 2015, 38: 1907–1923

    Google Scholar 

  13. 13

    Bard J F. Practical Bilevel Optimization: Algorithms and Applications. Berlin: Springer Science Business Media, 2013

    Google Scholar 

  14. 14

    Jiang M, Meng Z, Shen R, et al. A quadratic objective penalty function for bilevel programming. J Syst Sci Complex, 2014, 27: 327–337

    MathSciNet  Article  MATH  Google Scholar 

  15. 15

    Zhou A, Jin Y, Zhang Q. A population prediction strategy for evolutionary dynamic multiobjective optimization. IEEE Trans Cybernet, 2014, 44: 40–53

    Article  Google Scholar 

  16. 16

    Wu Y, Jin Y, Liu X. A directed search strategy for evolutionary dynamic multiobjective optimization. Soft Comput, 2015, 19: 3221–3235

    Article  Google Scholar 

  17. 17

    Lin Q, Chen J. A novel micro-population immune multiobjective optimization algorithm. Comput Oper Res, 2013, 40: 1590–1601

    MathSciNet  Article  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Chuang Lin.

Additional information

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Lin, C., Xue, C. Multi-objective evaluation and optimization on trustworthy computing. Sci. China Inf. Sci. 59, 108102 (2016).

Download citation