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TitleA new algorithm for identifying all global maximizers based on simulated annealing
Author(s)Pereira, Ana I. P. N.
Fernandes, Edite Manuela da G. P.
KeywordsGlobal optimization
Simulated annealing
Function stretching technique
Multi-global optimization
Issue dateMay-2005
PublisherInternational Society for Structural and Multidisciplinary Optimization (ISSMO)
CitationHERSKOWITZ, José; MAZORCHE, Sandro; CANELAS, Alfredo, ed. lit. – “World Congress on Structural and Multidisciplinary Optimization, 6, Rio de Janeiro, Brasil, 2005 : proceedings” [CD-ROM]. [S.l.]: International Society for Structural and Multidisciplinary Optimization, 2005. ISBN 85-285-0070-5.
Abstract(s)In this work we consider the problem of finding all the global maximizers of a given nonlinear optimization problem. We propose a new algorithm that combines the simulated annealing (SA) method with a function stretching technique, to generate a sequence of global maximization problems that are defined whenever a new maximizer is identified. To find the global maximizers, we apply the SA algorithm to the sequence of maximization problems. Results of numerical experiments with a set of well-known test problems show that the proposed method is effective. We also compare the performance of our algorithm with other multi-global optimizers.
TypeConference paper
AccessOpen access
Appears in Collections:LES/ALG - Textos completos em actas de encontros científicos internacionais com arbitragem

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