Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/10816
Título: Solving multilocal optimization problems with a recursive parallel search of the feasible region
Autor: Pereira, Ana I.
Rufino, José
Palavras-chave: Multilocal optimization
Global optimization
Parallel computing
Data: 2014
Editora: Springer
Citação: Pereira, Ana I.; Rufino, José (2014) - Solving multilocal optimization problems with a recursive parallel search of the feasible region. In Murgante, Beniamino [et al.] Computational Science and Applications - ICCSA 2014. London: Springer. p. 154-168. ISBN 978-3-319-09129-7
Resumo: Stretched Simulated Annealing (SSA) combines simulated annealing with a stretching function technique, in order to solve multilocal programming problems. This work explores an approach to the parallelization of SSA, named PSSA-HeD, based on a recursive heterogeneous decomposition of the feasible region and the dynamic distribution of the resulting subdomains by the processors involved. Three PSSAHeD variants were implemented and evaluated, with distinct limits on the recursive search depth, offering different levels of numerical and computational efficiency. Numerical results are presented and discussed.
Peer review: yes
URI: http://hdl.handle.net/10198/10816
Aparece nas colecções:ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus

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