Multi-objective optimization of p -xylene oxidation process using an improved self-adaptive differential evolution algorithm-Reference-Cited by-同舟云学术

Multi-objective optimization of p -xylene oxidation process using an improved self-adaptive differential evolution algorithm

Published:2017-08 Issue:8 Volume:25 Page:983-991
ISSN:1004-9541
Container-title:Chinese Journal of Chemical Engineering
language:en
Short-container-title:Chinese Journal of Chemical Engineering

Author:

Tao Lili,Xu Bin,Hu Zhihua,Zhong Weimin

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry,Biochemistry,Environmental Engineering

Reference25 articles.

1. p-Xylene oxidation to terephthalic acid: A literature review oriented toward process optimization and development;Tomás;Chem. Rev.,2013

2. Simplified free-radical reaction kinetics for p-xylene oxidation to terephthalic acid;Sun;Chem. Eng. Technol.,2008

3. Development of a free radical kinetic model for industrial oxidation of p-xylene based on artificial network and adaptive immune genetic algorithm;Qian;Ind. Eng. Chem. Res.,2011

4. Kinetics of COx formation in the homogeneous metal/bromide-catalyzed aerobic oxidation of p-xylene;Sun;In. J. Chem. Kinet.,2012

5. Multiobjective optimization using nondominated sorting in genetic algorithms;Srinivas;Evol. Comput.,1994

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