Enterprise projects set risk element transmission chaotic genetic model

Cunbin Li*, Peng Li, Gongshu Lu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In order to research projects set risk transfer process and improve risk management efficiency in projects management, combining chaos theory and genetic algorithm, put forward enterprise projects set risk element transmission chaos genetic model. Using logistic chaos mapping and chebyshev chaos mapping mixture, constructed a hybrid chaotic mapping system. The steps of adopting hybrid chaos mapping for genetic operation include projects set initialization, calculation of fitness, selection, crossover and mutation operators, fitness adjustment and condition judgment. The results showed that the model can simulate enterprise projects set risk transmission process very well and it also provides the basis for the enterprise managers to make decisions.

Original languageEnglish
Pages (from-to)3162-3167
Number of pages6
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume4
Issue number17
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Chaos
  • Genetic algorithm (GA)
  • Projects set
  • Risk element transmission

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