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A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy
- Source :
- Algorithms, Vol 8, Iss 4, Pp 951-964 (2015)
- Publication Year :
- 2015
- Publisher :
- MDPI AG, 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.
Details
- Language :
- English
- ISSN :
- 19994893
- Volume :
- 8
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- Algorithms
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2a05a3a17e31461fb032881febd327cb
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/a8040951