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 ACCESSORIES the classical harmony search.Second, we