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Forced Strategy Differential Evolution Used for Data Clustering

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Metaheuristics for Data Clustering and Image Segmentation

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 152))

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Abstract

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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Authors and Affiliations

  1. Information Technology, University College of Bahrain, Manama, Bahrain

    Meera Ramadas

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

Authors
  1. Meera Ramadas
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  2. Ajith Abraham
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Correspondence to Meera Ramadas .

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Ramadas, M., Abraham, A. (2019). Forced Strategy Differential Evolution Used for Data Clustering. In: Metaheuristics for Data Clustering and Image Segmentation. Intelligent Systems Reference Library, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-030-04097-0_5

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