Kernel Clustering with a Differential Harmony Search Algorithm for Scheme Classification

This paper presents a kernel fuzzy clustering with a novel differential harmony search algorithm to coordinate with the diversion scheduling scheme classification. First, we employed a self-adaptive solution generation strategy and differential evolution-based population update strategy to improve t...

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Bibliographic Details
Main Authors: Yu Feng, Jianzhong Zhou, Muhammad Tayyab
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/10/1/14