A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy
نویسندگان
چکیده
منابع مشابه
A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy
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 a...
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The hybrid approach is proposed to show that the clusters also show the swarm behavior. Krill herd algorithm is used to show the simulation of the herding behavior of the krill individuals. Density based approach is used for discovering the clusters and to show the region with sufficiently high density into clusters of krill individuals that of the arbitrary shape in environment. The minimum di...
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In recent years, metaheuristic algorithms have been widely used in solving clustering problems because of their good performance and application effects. krill herd algorithm (KHA) is a new effective algorithm to solve optimization problems based on the imitation of krill individual behavior, and it is proven to perform better than other swarm intelligence algorithms. However, there are some we...
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ژورنال
عنوان ژورنال: Algorithms
سال: 2015
ISSN: 1999-4893
DOI: 10.3390/a8040951