Integrating controlled random search into the Line-Up competition algorithm to solve unsteady operation problems / Daim-Yuang Sun ; Pi-Min Lin ; Shu-Ping Lin in Industrial & engineering chemistry research, Vol. 47 n°22 (Novembre 2008)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 47 n°22 (Novembre 2008) . - p. 8869–8887 Titre : Integrating controlled random search into the Line-Up competition algorithm to solve unsteady operation problems Type de document : texte imprimé Auteurs : Daim-Yuang Sun, Auteur ; Pi-Min Lin, Auteur ; Shu-Ping Lin, Auteur Année de publication : 2008 Article en page(s) : p. 8869–8887 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Controlled Random Line-Up Algorithm Résumé : In this work, a line-up competition algorithm (LCA) is applied to solve the dynamic optimization problems derived from unsteady chemical systems. The problems are first converted ito nonlinear programming problems using the concept of control vector parametrization. The parameters embedded in the converted problems then are selected by LCA. To improve numerical accuracy, the normal (Gaussian) sampling policy is introduced to replace the uniform sampling policy used in basic LCA. Variable step input (VSI) and variable ramp input (VRI) are respectively considered to rebuild the control policy in solutions. Some typical examples are provided to demonstrate the robustness and efficiency of this modification. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8009999 [article] Integrating controlled random search into the Line-Up competition algorithm to solve unsteady operation problems [texte imprimé] / Daim-Yuang Sun, Auteur ; Pi-Min Lin, Auteur ; Shu-Ping Lin, Auteur . - 2008 . - p. 8869–8887. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°22 (Novembre 2008) . - p. 8869–8887 Mots-clés : Controlled Random Line-Up Algorithm Résumé : In this work, a line-up competition algorithm (LCA) is applied to solve the dynamic optimization problems derived from unsteady chemical systems. The problems are first converted ito nonlinear programming problems using the concept of control vector parametrization. The parameters embedded in the converted problems then are selected by LCA. To improve numerical accuracy, the normal (Gaussian) sampling policy is introduced to replace the uniform sampling policy used in basic LCA. Variable step input (VSI) and variable ramp input (VRI) are respectively considered to rebuild the control policy in solutions. Some typical examples are provided to demonstrate the robustness and efficiency of this modification. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8009999

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