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Metaheuristics for Data Clustering and Image Segmentation

Metaheuristics for Data Clustering and Image Segmentation

Trending Research Book in Metaheuristics for Data Clustering and Image Segmentation

Author(s) Name:  Meera Ramadas, Ajith Abraham

About the Book:

   In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems.
   The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.

Table of Contents

  • Introduction
  • Metaheuristics and Data Clustering
  • Revised Mutation Strategy for Differential Evolution Algorithm
  • Search Strategy Flower Pollination Algorithm with Differential Evolution
  • Forced Strategy Differential Evolution Used for Data Clustering
  • Reconstructed Mutation Strategy for Differential Evolution Algorithm
  • Enhanced Differential Evolution with Fuzzy c-Means Technique
  • Conclusion and Future Scope

    • ISBN:  978-3-030-04097-0

    Publisher:  Springer, Cham

    Year of Publication:  2019

    Book Link:  Home Page Url