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Materials and Manufacturing Processes Volume 22, 2007 - Issue 5
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Original Articles

Simulation and Optimization of Wiped-Film Poly-Ethylene Terephthalate (PET) Reactor Using Multiobjective Differential Evolution (MODE)

B. V. Babu Department of Chemical Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, IndiaCorrespondence[email protected]
,
J. H. Syed Mubeen Department of Chemical Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India
&
Pallavi G. Chakole Department of Chemical Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India
Pages 541-552 | Received 04 Aug 2006, Accepted 20 Feb 2007, Published online: 30 May 2007

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S Datta & P P Chattopadhyay. (2013) Soft computing techniques in advancement of structural metals. International Materials Reviews 58:8, pages 475-504.
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AshishM. Gujarathi & B.V. Babu. (2011) Multiobjective Optimization of Industrial Processes Using Elitist Multiobjective Differential Evolution (Elitist-MODE). Materials and Manufacturing Processes 26:3, pages 455-463.
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Arijit Biswas, N. Chakraborti & P. K. Sen. (2009) A GENETIC ALGORITHMS BASED MULTI-OBJECTIVE OPTIMIZATION APPROACH APPLIED TO A HYDROMETALLURGICAL CIRCUIT FOR OCEAN NODULES. Mineral Processing and Extractive Metallurgy Review 30:2, pages 163-189.
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Frank Pettersson, Arijit Biswas, Prodip Kumar Sen, Henrik Saxén & Nirupam Chakraborti. (2009) Analyzing Leaching Data for Low-Grade Manganese Ore Using Neural Nets and Multiobjective Genetic Algorithms. Materials and Manufacturing Processes 24:3, pages 320-330.
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AshishM. Gujarathi & B. V. Babu. (2009) Improved Multiobjective Differential Evolution (MODE) Approach for Purified Terephthalic Acid (PTA) Oxidation Process. Materials and Manufacturing Processes 24:3, pages 303-319.
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Wojciech Paszkowicz. (2009) Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields. Materials and Manufacturing Processes 24:2, pages 174-197.
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R. Sreevathsan, B. Bhattacharya & N. Chakraborti. (2009) Designing Ionic Materials Through Multiobjective Genetic Algorithms. Materials and Manufacturing Processes 24:2, pages 162-168.
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CarlosA. Coello Coello & Ricardo Landa Becerra. (2009) Evolutionary Multiobjective Optimization in Materials Science and Engineering. Materials and Manufacturing Processes 24:2, pages 119-129.
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Arijit Biswas, N. Chakraborti & P. K. Sen. (2008) Multiobjective Optimization of Manganese Recovery from Sea Nodules Using Genetic Algorithms. Materials and Manufacturing Processes 24:1, pages 22-30.
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K. Mitra. (2008) Genetic algorithms in polymeric material production, design, processing and other applications: a review. International Materials Reviews 53:5, pages 275-297.
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Articles from other publishers (16)

Zainab Al Ani, Ashish M. Gujarathi & Ala’a H. Al-Muhtaseb. (2022) A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors. Artificial Intelligence Review 56:3, pages 2435-2496.
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Zainab Al Ani, Ashish M. Gujarathi, G. Reza Vakili-Nezhaad & Ala’a H. Al-Muhtaseb. (2020) Hybridization Approach Towards Improving the Performance of Evolutionary Algorithm. Arabian Journal for Science and Engineering 45:12, pages 11065-11086.
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BABU B.V.. (2017) NATURE-INSPIRED EVOLUTIONARY COMPUTATION FOR OPTIMIZATION. i-manager’s Journal on Software Engineering 12:2, pages 25.
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Dan Qin, Chaosheng Wang, Huaping Wang, Ye Chen, Peng Ji & Zhenhao Xi. (2017) Modeling and Optimizing of Producing Recycled PET from Fabrics Waste via Falling Film-Rotating Disk Combined Reactor. International Journal of Polymer Science 2017, pages 1-13.
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Shubhabrata Datta. 2016. Materials Design Using Computational Intelligence Techniques. Materials Design Using Computational Intelligence Techniques 133 148 .
Shubhabrata Datta. 2016. Materials Design Using Computational Intelligence Techniques. Materials Design Using Computational Intelligence Techniques 107 121 .
Stanislav Y. Ivanov & Ajay K. Ray. (2016) Application of multi-objective optimization in the design and operation of industrial catalytic reactors and processes. Physical Sciences Reviews 1:3.
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Na Luo & Feng Qian. (2012) Parameter estimation of industrial PET reactor using multi-objective kernel density estimation of distribution algorithm. Asia-Pacific Journal of Chemical Engineering 7:5, pages 783-794.
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Zhiwen Yu, Hau-San Wong, Dingwen Wang & Ming Wei. (2011) Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation 15:6, pages 812-831.
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E.V. Ovchinnikova, N.V. Vernikovskaya, T.V. Andrushkevich & V.A. Chumachenko. (2011) Mathematical modeling of β-picoline oxidation to nicotinic acid in multitubular reactor: Effect of the gas recycle. Chemical Engineering Journal 176-177, pages 114-123.
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Ashish M. Gujarathi & B.V. Babu. (2010) Multi-objective optimization of industrial styrene reactor: Adiabatic and pseudo-isothermal operation. Chemical Engineering Science 65:6, pages 2009-2026.
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Ashish M. Gujarathi & B. V. Babu. (2009) Optimization of Adiabatic Styrene Reactor: A Hybrid Multiobjective Differential Evolution (H-MODE) Approach. Industrial & Engineering Chemistry Research 48:24, pages 11115-11132.
Crossref
N. Chakraborti, R. Sreevathsan, R. Jayakanth & B. Bhattacharya. (2009) Tailor-made material design: An evolutionary approach using multi-objective genetic algorithms. Computational Materials Science 45:1, pages 1-7.
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Sudipto Ghosh, Prashant Gabane, Anindya Bose & Nirupam Chakraborti. (2009) Modeling of recrystallization in cold rolled copper using inverse cellular automata and genetic algorithms. Computational Materials Science 45:1, pages 96-103.
Crossref
B. V. Babu & Rakesh Angira. 2008. Soft Computing Applications in Industry. Soft Computing Applications in Industry 1 22 .
B.V. Babu & Ashish. M. Gujrathi. (2007) Multi-Objective Differential Evolution (MODE) Algorithm for Multi-Objective Optimization: Parametric Study on Benchmark Test Problems. i-manager's Journal on Future Engineering and Technology 3:1, pages 47-59.
Crossref

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