Enhanced Differential Evolution with Fuzzy c-Means Technique

  • Meera RamadasEmail author
  • Ajith Abraham
Part of the Intelligent Systems Reference Library book series (ISRL, volume 152)


This chapter introduces another new variant of Evolutionary Algorithm named enhanced Differential Evolution (eDE). eDE is incorporated with fuzzy c-means technique to perform clustering of data. In this approach, the search strategy of eDE algorithm is combined with the fuzzy c-means technique and this technique is then applied on clustering of dataset.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Information TechnologyUniversity College of BahrainManamaBahrain
  2. 2.Scientific Network for Innovation and Research ExcellenceMachine Intelligence Research Labs (MIR Labs)AuburnUSA

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