Fuzzy modeling with the particle swarm optimization algorithm

Dominika Falkiewicz,

Szymon Łukasik

Abstrakt

The main goal of this paper is a description of clustering algorithm based on the particle swarm optimization algorithm, inspired on social behavior of animals and its application in fuzzy modeling. In the paper the idea of the heuristic swarm-based algorithm was presented, including a few modifications. Moreover, the results of the experimental evaluation were shown, both a selected optimization technique and its synthesi with a fuzzy modeling method referring to the k-means algorithm and the fuzzy control process.

Słowa kluczowe: fuzzy modeling, exploratory data analysis, cluster analysis, particle swarm optimization algorithm