A new differential evolution with wavelet theory based mutation operation

J. C.Y. Lai, Hung Fat Frank Leung, S. H. Ling

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)


An improved Differential Evolution (DE) that incorporates a wavelet-based mutation operation to control the scaling factor is proposed. The wavelet theory applied is to enhance DE in exploring the solution spaces more effectively for better solutions. A suite of benchmark test functions is employed to evaluate the performance of the proposed method. It is shown empirically that the proposed method outperforms significantly the existing methods in terms of convergence speed, solution quality and solution stability.
Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Number of pages7
Publication statusPublished - 25 Nov 2009
Event2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
Duration: 18 May 200921 May 2009


Conference2009 IEEE Congress on Evolutionary Computation, CEC 2009

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this