Abstract
Many universities all over the world have been offering courses on swarm intelligence from 1990s. Particle Swarm Optimization is a swarm intelligence technique. It is relatively young, with a pronounce need for a mature teaching method. This paper presents an educational software tool in MATLAB to aid the teaching of PSO fundamentals and its applications to data clustering. This software offers the advantage of running the classical K-Means clustering algorithm and also provides facility to simulate hybridization of K-Means with PSO to explore better clustering performances. The graphical user interfaces are user-friendly and offer good learning scope to aspiring learners of PSO.
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Manda, K., Hanuman, A.S., Satapathy, S.C., Chaganti, V., Babu, A.V. (2010). A Software Tool for Data Clustering Using Particle Swarm Optimization. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science, vol 6466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17563-3_34
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DOI: https://doi.org/10.1007/978-3-642-17563-3_34
Publisher Name: Springer, Berlin, Heidelberg
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