Wuhan University Journal of Natural Sciences

, Volume 4, Issue 4, pp 409–414 | Cite as

A new evolutionary algorithm for function optimization

  • Guo Tao
  • Kang Li-shan


A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory.

Key words

evolutionary algorithm function optimization problem inequality constraints 

CLC number

TP 301.6 O 224 

Document code


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Copyright information

© Springer 1999

Authors and Affiliations

  • Guo Tao
    • 1
  • Kang Li-shan
    • 1
  1. 1.State Key Laboratory of Software EngineeringWuhan UniversityWuhanChina

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