Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/25201

TitleA global optimization method to solve engineering design problems
Author(s)Rocha, Ana Maria A. C.
Costa, M. Fernanda P.
Fernandes, Edite Manuela da G. P.
Issue date2013
CitationRocha, Ana Maria A.C., Costa, M. Fernanda P. and Fernandes, Edite M.G.P., A global optimization method to solve engineering design problems, Book of Abstracts of The Fourth International Conference on Continuous Optimization (ICCOPT 2013), New University of Lisbon, Caparica, Portugal, July 27 - August 1, 2013.
Abstract(s)Distribution based artificial fish swarm is a new heuristic for continuous global optimization. Based on the artificial fish swarm paradigm, the new algorithm generates trial points from the Gaussian distribution, where the mean is the target point and the standard deviation is the difference between the current and the target point. A local search procedure is incorporated into the algorithm aiming to improve the quality of the solutions. The adopted approach for handling the constraints of problem relies on a simple heuristic that uses feasibility and dominance rules. A comparison with a previous version, where the mean of the Gaussian distribution is the midpoint between the current and the target point, is investigated using a set of engineering design problems.
TypeAbstract
URIhttp://hdl.handle.net/1822/25201
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review
CAlg - Resumos em livros de atas/Abstracts in proceedings

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