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Operation condition optimization of p-Xylene oxidation reaction process based on a fuzzy adaptive immune algorithm / He Hong in Industrial & engineering chemistry research, Vol. 49 N° 12 (Juin 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5683–5693 Titre : Operation condition optimization of p-Xylene oxidation reaction process based on a fuzzy adaptive immune algorithm Type de document : texte imprimé Auteurs : He Hong, Auteur ; Du Wenli, Auteur ; Qian Feng, Auteur Année de publication : 2010 Article en page(s) : pp. 5683–5693 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : p-xylene  to  terephthalic  acid  Oxidation  Fuzzy  adaptive  immune  algorithm Résumé : The oxidation of p-xylene to terephthalic acid (TA) is a significant chemical process of purified TA production. Variation of operation conditions of the reaction directly affects the quality of TA. In this paper a fuzzy adaptive immune algorithm (FAIA) was proposed to realize the operation condition optimization of the p-xylene oxidation reaction. In FAIA, a chaotic hypermutation was developed to strengthen the searching ability of the algorithm, and a new immune network regulatory strategy was devised to maintain population adversity. Furthermore, two fuzzy logic modules were constructed to adjust parameters, further increasing the adaptability of the algorithm. The data of function optimization show that FAIA can quickly converge to the global optimum and overcome premature problems. Optimization results of process variable values of the p-xylene oxidation reaction indicate that the application of FAIA in an oxidation reaction process can greatly save the time of operation condition selection and reduce production cost. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900969c [article] Operation condition optimization of p-Xylene oxidation reaction process based on a fuzzy adaptive immune algorithm [texte imprimé] / He Hong, Auteur ; Du Wenli, Auteur ; Qian Feng, Auteur . - 2010 . - pp. 5683–5693. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5683–5693 Mots-clés : p-xylene  to  terephthalic  acid  Oxidation  Fuzzy  adaptive  immune  algorithm Résumé : The oxidation of p-xylene to terephthalic acid (TA) is a significant chemical process of purified TA production. Variation of operation conditions of the reaction directly affects the quality of TA. In this paper a fuzzy adaptive immune algorithm (FAIA) was proposed to realize the operation condition optimization of the p-xylene oxidation reaction. In FAIA, a chaotic hypermutation was developed to strengthen the searching ability of the algorithm, and a new immune network regulatory strategy was devised to maintain population adversity. Furthermore, two fuzzy logic modules were constructed to adjust parameters, further increasing the adaptability of the algorithm. The data of function optimization show that FAIA can quickly converge to the global optimum and overcome premature problems. Optimization results of process variable values of the p-xylene oxidation reaction indicate that the application of FAIA in an oxidation reaction process can greatly save the time of operation condition selection and reduce production cost. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900969c