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《中国化学工程学报(英文版)》 2012-06
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Modified Self-adaptive Immune Genetic Algorithm for Optimization of Combustion Side Reaction of p-Xylene Oxidation

TAO Lili1 , KONG Xiangdong 1 , ZHONG Weimin2, ** and QIAN Feng1, ** 1 Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China 2 Automation Institute, East China University of Science and Technology, Shanghai 200237, China  
In recent years, immune genetic algorithm (IGA) is gaining popularity for finding the optimal solution for non-linear optimization problems in many engineering applications. However, IGA with deterministic mutation factor suffers from the problem of premature convergence. In this study, a modified self-adaptive immune genetic algorithm (MSIGA) with two memory bases, in which immune concepts are applied to determine the mutation parameters, is proposed to improve the searching ability of the algorithm and maintain population diversity. Performance comparisons with other well-known population-based iterative algorithms show that the proposed method converges quickly to the global optimum and overcomes premature problem. This algorithm is applied to optimize a feed forward neural network to measure the content of products in the combustion side reaction of p-xylene oxidation, and satisfactory results are obtained.
【Fund】: Supported by the Major State Basic Research Development Program of China (2012CB720500);; the National Natural Science Foundation of China (Key Program: U1162202);the National Natural Science Foundation of China (General Program:61174118);; Shanghai Leading Academic Discipline Project (B504)
【CateGory Index】: TQ038
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 Hajir Karimia,and Fakhri Yousefi b aChemical Engineering Department,Yasouj University,Yasouj 75914-353,Iran bDepartment of Chemistry,College of Science,Shiraz University,Shiraz 71454,Iran;Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks[J];中国化学工程学报(英文版);2007-05
【Co-citations】
Chinese Journal Full-text Database 4 Hits
1 Lv Huichao,et al (Anyang Institute of Technology,Anyang 455000);Correlation of Liquid-Liquid Equilibrium Data for Ethanol-Water-2-Ethylhexanol Containing KF System Using BP Artificial Neural Network[J];Chemical Engineering Design;2010-03
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3 YAN Xingdi,YANG Wen, MA Hehe and SHI Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search Optimization and BP Neural Network[J];中国化学工程学报(英文版);2012-06
4 LI Zeqiu,ZHAO Liang,DU Wenli and QIAN Feng** Key Laboratory of Advanced Control and Optimization for Chemical Process(Ministry of Education),East China University of Science and Technology,Shanghai 200237,China;Modeling and Optimization of the Steam Turbine Network of an Ethylene Plant[J];中国化学工程学报(英文版);2013-05
【Co-references】
Chinese Journal Full-text Database 10 Hits
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