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Algorithms 2015, 8(4), 951-964; doi:10.3390/a8040951

A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy

1
School of Digital Creation and Animation, Shenzhen Polytechnic, Shenzhen 518055, China
2
School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
3
School of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, China
*
Author to whom correspondence should be addressed.
Academic Editor: Javier Del Ser Lorente
Received: 4 August 2015 / Revised: 20 September 2015 / Accepted: 15 October 2015 / Published: 22 October 2015
(This article belongs to the Special Issue Clustering Algorithms)
View Full-Text   |   Download PDF [769 KB, uploaded 22 October 2015]   |  

Abstract

As one of the most popular and well-recognized clustering methods, fuzzy C-means (FCM) clustering algorithm is the basis of other fuzzy clustering analysis methods in theory and application respects. However, FCM algorithm is essentially a local search optimization algorithm. Therefore, sometimes, it may fail to find the global optimum. For the purpose of getting over the disadvantages of FCM algorithm, a new version of the krill herd (KH) algorithm with elitism strategy, called KHE, is proposed to solve the clustering problem. Elitism tragedy has a strong ability of preventing the krill population from degrading. In addition, the well-selected parameters are used in the KHE method instead of originating from nature. Through an array of simulation experiments, the results show that the KHE is indeed a good choice for solving general benchmark problems and fuzzy clustering analyses. View Full-Text
Keywords: clustering; krill herd; elitism strategy; swarm intelligence clustering; krill herd; elitism strategy; swarm intelligence
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Li, Z.-Y.; Yi, J.-H.; Wang, G.-G. A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy. Algorithms 2015, 8, 951-964.

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