A new hybridization strategy for krill herd algorithm and harmony search algorithm applied to improve the data clustering

Abualigah, Laith Mohammad and Khader, Ahamad Tajudin and AlBetar, Mohammed Azmi and Hanandeh, Essam Said (2017) A new hybridization strategy for krill herd algorithm and harmony search algorithm applied to improve the data clustering. In: First EAI International Conference on Computer Science and Engineering.

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Abstract

Krill herd (KH) is a stochastic nature-inspired algorithm, it has been successfully used to solve many complex optimization problems. The performance of krill herd algorithm (KHA) is effected by poor ex-ploitation capability. This paper proposes new data clustering algorithm based on a hybrid of kril

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 10:51
Last Modified: 17 Apr 2026 17:16
URI: http://eprints.eai.eu/id/eprint/15442

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