详细信息
Optimization of p-xylene oxidation reaction process based on self-adaptive multi-objective differential evolution ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Optimization of p-xylene oxidation reaction process based on self-adaptive multi-objective differential evolution
作者:Xu, Bin[1,2];Qi, Rongbin[1];Zhong, Weimin[1];Du, Wenli[1];Qian, Feng[1]
机构:[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China
年份:2013
卷号:127
起止页码:55
外文期刊名:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
收录:;EI(收录号:20242616498790);WOS:【SCI-EXPANDED(收录号:WOS:000324011300008)】;
基金:Authors would like to express their sincere thanks to the reviewers for their valuable suggestions and comments. This work was supported by the Major State Basic Research Development Program of China (2012CB720500), National Natural Science Foundation of China (Key Program: U1162202), National Science Fund for Outstanding Young Scholars (61222303, 61174118), National Natural Science Foundation of China (21276078), Shanghai Key Technologies R&D Program (12dz1125100) and Shanghai Leading Academic Discipline Project (B504).
语种:英文
外文关键词:P-xylene oxidation; Purified terephthalic acid; Operation condition optimization; Multi-objective optimization; Differential evolution
摘要:Purified terephthalic acid (PTA) is used for producing a variety of polyesters. In the production of PTA, p-xylene (PX) is first transformed into terephthalic acid (TA) by oxidation process and then TA is refined. As a key step, the oxidation of PX to TA is a significant chemical process of PTA production. To improve qualified product yield with low energy consumption, in this paper, multi-objective optimization of various conflicting objectives (namely minimization of combustion loss, maximization of TA yield) is conducted using self-adaptive multi-objective differential evolution algorithm (SADE). The main characteristic of it is that DE's trial vector generation strategies and the corresponding control parameters are gradually self-adjusted adaptively based on the knowledge learnt from the previous searches in generating improved solutions. Furthermore, to handle constraints in multi-objective problems, the pseudo feasible concept is proposed to effectively utilize the critical information carried by some infeasible solutions. Optimization results of PX oxidation reaction process indicate that application of SADE can greatly improve the yield of TA with low combustion loss without degenerating TA quality. Furthermore, SADE can provide a set of Pareto optimal solutions and then suitable multi-criterion decision-making techniques can be employed to select one or a small set of the optimal solution(s) of design parameter(s) based on preference. (C) 2013 Elsevier B.V. All rights reserved.
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