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Dynamic optimization of nonlinear processes with an enhanced scatter search method / Jose A. Egea in Industrial & engineering chemistry research, Vol. 48 N° 9 (Mai 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 9 (Mai 2009) . - pp. 4388–4401 Titre : Dynamic optimization of nonlinear processes with an enhanced scatter search method Type de document : texte imprimé Auteurs : Jose A. Egea, Auteur ; Balsa-Canto, Eva, Auteur ; María-Sonia G. García, Auteur Année de publication : 2009 Article en page(s) : pp. 4388–4401 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Scatter  search  method  Nonlinear  processes  Control  vector  parametrization Résumé : An enhanced scatter search method for the global dynamic optimization of nonlinear processes using the control vector parametrization (CVP) approach is presented. Sharing some features of the scatter search metaheuristic, this new method presents a simpler but more effective design which helps to overcome typical difficulties of nonlinear dynamic systems optimization such as noise, flat areas, nonsmoothness, and/or discontinuities. This new algorithm provides a good balance between robustness and efficiency in the global phase, and couples a local search procedure to accelerate the convergence to optimal solutions. Its application to four multimodal dynamic optimization problems, compared with other state-of-the-art global optimization algorithms, including an advanced scatter search design, proves its efficiency and robustness, showing a very good scalability. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801717t [article] Dynamic optimization of nonlinear processes with an enhanced scatter search method [texte imprimé] / Jose A. Egea, Auteur ; Balsa-Canto, Eva, Auteur ; María-Sonia G. García, Auteur . - 2009 . - pp. 4388–4401. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 9 (Mai 2009) . - pp. 4388–4401 Mots-clés : Scatter  search  method  Nonlinear  processes  Control  vector  parametrization Résumé : An enhanced scatter search method for the global dynamic optimization of nonlinear processes using the control vector parametrization (CVP) approach is presented. Sharing some features of the scatter search metaheuristic, this new method presents a simpler but more effective design which helps to overcome typical difficulties of nonlinear dynamic systems optimization such as noise, flat areas, nonsmoothness, and/or discontinuities. This new algorithm provides a good balance between robustness and efficiency in the global phase, and couples a local search procedure to accelerate the convergence to optimal solutions. Its application to four multimodal dynamic optimization problems, compared with other state-of-the-art global optimization algorithms, including an advanced scatter search design, proves its efficiency and robustness, showing a very good scalability. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801717t