An extended ant colony optimization algorithm for integrated process and control system design / Martin Schlüter in Industrial & engineering chemistry research, Vol. 48 N° 14 (Juillet 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 14 (Juillet 2009) . - pp. 6723–6738 Titre : An extended ant colony optimization algorithm for integrated process and control system design Type de document : texte imprimé Auteurs : Martin Schlüter, Auteur ; Jose A. Egea, Auteur ; Luis T. Antelo, Auteur Année de publication : 2009 Article en page(s) : pp. 6723–6738 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Integrated process and control system Mixed integer nonlinear programming problem Optimization algorithm Résumé : The problem of integrated process and control system design is discussed in this paper. We formulate it as a mixed integer nonlinear programming problem subject to differential-algebraic constraints. This class of problems is frequently nonconvex and, therefore, local optimization techniques usually fail to locate the global solution. Here we propose a global optimization algorithm, based on an extension of the ant colony optimization metaheuristic, in order to solve this challenging class of problems in an efficient and robust way. The ideas of the methodology are explained and, on the basis of different full-plant case studies, the performance of the approach is evaluated. The first set of benchmark problems deal with the integrated design and control of two different wastewater treatment plants, consisting on both NLP and MINLP formulations. The last case study is the well-known Tennessee Eastman process. Numerical experiments with our new method indicate that we can achieve an improved performance in all cases. Additionally, our method outperforms several other recent competitive solvers for the challenging case studies considered. En ligne : An Extended Ant Colony Optimization Algorithm for Integrated Process and Control [...] [article] An extended ant colony optimization algorithm for integrated process and control system design [texte imprimé] / Martin Schlüter, Auteur ; Jose A. Egea, Auteur ; Luis T. Antelo, Auteur . - 2009 . - pp. 6723–6738. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 14 (Juillet 2009) . - pp. 6723–6738 Mots-clés : Integrated process and control system Mixed integer nonlinear programming problem Optimization algorithm Résumé : The problem of integrated process and control system design is discussed in this paper. We formulate it as a mixed integer nonlinear programming problem subject to differential-algebraic constraints. This class of problems is frequently nonconvex and, therefore, local optimization techniques usually fail to locate the global solution. Here we propose a global optimization algorithm, based on an extension of the ant colony optimization metaheuristic, in order to solve this challenging class of problems in an efficient and robust way. The ideas of the methodology are explained and, on the basis of different full-plant case studies, the performance of the approach is evaluated. The first set of benchmark problems deal with the integrated design and control of two different wastewater treatment plants, consisting on both NLP and MINLP formulations. The last case study is the well-known Tennessee Eastman process. Numerical experiments with our new method indicate that we can achieve an improved performance in all cases. Additionally, our method outperforms several other recent competitive solvers for the challenging case studies considered. En ligne : An Extended Ant Colony Optimization Algorithm for Integrated Process and Control [...]

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
aucun exemplaire