Abstract
This chapter introduces a new variant of Differential Evolution named as RDE- Reconstructed Differential Evolution. RDE differs from classical DE in its mutation strategy. To improve efficiency and robustness, RDE strategy uses three control parameters unlike FSDE and ReDE. This variant is then applied on clustering of complex weather images.
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Ramadas, M., Abraham, A. (2019). Reconstructed Mutation Strategy for Differential Evolution Algorithm. 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_6
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DOI: https://doi.org/10.1007/978-3-030-04097-0_6
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04096-3
Online ISBN: 978-3-030-04097-0
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