Einsatz der Particle Swarm Optimization zurOptimierung universitärer Stundenpläne

Particle Swarm Optimization (PSO) has proven to be a good metaheuristic for continuous optimizationproblems. In this paper we present a solution for applying the PSO to a combinatorial optimizationproblem of a real data university course timetabling problem. We first describe the consideredsituation of the faculty of philosophy of the University of Goettingen and describe how PSO works ingeneral. After that the PSO for this combinatorial...

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Year of publication:	2007
Authors:	Brodersen, Ole Björn ; Schumann, Matthias
Institutions:	Institut für Wirtschaftsinformatik <Göttingen> / Abteilung Wirtschaftsinformatik <2>
Published in:	Professur für Anwendungssysteme und E-Business - Publikationen Arbeitsbericht Nr. 05/2007
Subject:	Kombinatorische Optimierung \| machine scheduling \| Universität \| University

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Extent:	43 p. 2846.72 p. application/pdf
Type of publication:	Book / Working Paper
Language:	German
Classification:	Business administration. Other aspects ; Individual Reports, Studies ; No country specification
Source:	USB Cologne (business full texts)

Persistent link: https://www.econbiz.de/10005868588