Forced Strategy Differential Evolution Used for Data Clustering

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


This chapter introduces another approach of Differential Evolution algorithm named as FSDE—Forced Strategy Differential Evolution. FSDE uses two control parameters: a constant parameter and a varying parameter. By using two control parameters, the efficiency of FSDE improves greatly. This variant is then applied on clustering of data.


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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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