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Materials and Manufacturing Processes Volume 28, 2013 - Issue 7: Special Issue on Genetic Algorithms
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Original Articles

Multiobjective Optimization of Industrial Naphtha Cracker for Production of Ethylene and Propylene

Ashish M. Gujarathi Department of Petroleum and Chemical Engineering, College of Engineering, Sultan Qaboos University, Al-Khod, Muscat, Sultanate of Oman
,
Ali Hussain Motagamwala Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India
&
B. V. Babu Institute of Engineering and Technology, J. K. Laxmipat University, Jaipur, Rajasthan, IndiaCorrespondence[email protected] [email protected]
Pages 803-810 | Received 30 Sep 2012, Accepted 20 Oct 2012, Published online: 08 Jul 2013

Citations (15)

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Ashish M. Gujarathi, Swaprabha P. Patel & Badria Al Siyabi. (2023) Multi-objective optimization of fed-batch bioreactor for lysine production. Materials and Manufacturing Processes 38:16, pages 2071-2080.
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Swaprabha P. Patel, Ashish M. Gujarathi & Piyush B. Vanzara. (2023) Multi-criteria analysis of cell-recycle based continuous lactic acid production process. Materials and Manufacturing Processes 38:15, pages 1932-1941.
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Ashish M. Gujarathi. (2023) Insight into single- and bi-objective optimization of industrial problems. Materials and Manufacturing Processes 38:15, pages 1874-1880.
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Badria Al-Siyabi, Ashish M. Gujarathi & Nallusamy Sivakumar. (2017) Harmonic multi-objective differential evolution approach for multi-objective optimization of fed-batch bioreactor. Materials and Manufacturing Processes 32:10, pages 1152-1161.
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Nirupam Chakraborti. (2014) Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research. Materials Science and Technology 30:11, pages 1259-1262.
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N. Chakraborti. (2014) Promise of multiobjective genetic algorithms in coating performance formulation. Surface Engineering 30:2, pages 79-82.
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Articles from other publishers (9)

Ashish M. Gujarathi, Swaprabha P. Patel & Badria Al Siyabi. (2023) Insight into evolutionary optimization approach of batch and fed-batch fermenters for lactic acid production. Digital Chemical Engineering 8, pages 100105.
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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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Xiaodong Zhang, Lu Jin, Chengtian Cui & Jinsheng Sun. (2021) A self-adaptive multi-objective dynamic differential evolution algorithm and its application in chemical engineering. Applied Soft Computing 106, pages 107317.
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Zainab Al Ani, Ashish M. Gujarathi & G. Reza Vakili-Nezhaad. (2021) Simultaneous energy and environment-based optimization and retrofit of TEG dehydration process: An industrial case study. Process Safety and Environmental Protection 147, pages 972-984.
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Midong Shi, Wei Zeng, Shixian Song, Meiting Zhou & Wei Wang. (2020) Measurement and correlation of ternary (liquid–liquid) equilibrium data for n-heptane + p-xylene + (furfural or dimethyl sulfoxide) system at 303.15 K and 323.15 K. The Journal of Chemical Thermodynamics 149, pages 106175.
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Seyed Reza Nabavi & Mahmoud Abbasi. (2017) Black box modeling and multiobjective optimization of electrochemical ozone production process. Neural Computing and Applications 31:S2, pages 957-968.
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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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Ashish M. Gujarathi & B. V. Babu. 2016. Evolutionary Computation. Evolutionary Computation 1 20 .
Omar U. Ahmed, Farouq S. Mjalli, Ashish M. Gujarathi, Talal Al-Wahaibi, Yahya Al-Wahaibi & Inas M. AlNashef. (2015) Feasibility of phosphonium-based ionic liquids as solvents for extractive desulfurization of liquid fuels. Fluid Phase Equilibria 401, pages 102-109.
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