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Title: Teaching particle swarm optimization through an open-loop system identification project
Authors: Paulo Moura Oliveira
José Boaventura
Eduardo Pires
Issue Date: 2014
Abstract: The particle swarm optimization (PSO), one of the most successful natural inspired algorithms, is revisited in the context of a proposal for a new teaching experiment. The problem considered is the open-loop step identification procedure, which is studied as an optimization problem. The PSO canonical algorithm main issues addressed within the proposed open-loop step identification experience are: the swarm random initialization methodology, the population size variation, and the inertia weight selection. The teaching experience learning outcomes are stated, simulation results presented, and feedback results from students analyzed. (c) 2011 Wiley Periodicals, Inc. Comput Appl Eng Educ 22:227-237, 2014; View this article online at ; DOI
metadata.dc.type: article
Appears in Collections:CRIIS - Articles in International Journals

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