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Biotechnology & Biotechnological Equipment Volume 30, 2016 - Issue 2

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Article; Bioinformatics

Kinetic parameters estimation of protease production using penalty function method with hybrid genetic algorithm and particle swarm optimization

Mahsa GhovvatiDepartment of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Gholam KhayatiDepartment of Chemical Engineering, Faculty of Engineering, University of Guilan, Rasht, IranCorrespondence[email protected]

Hossein AttarDepartment of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Ali VaziriDepartment of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Pages 404-410 | Received 17 Oct 2015, Accepted 16 Dec 2015, Published online: 29 Jan 2016

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https://doi.org/10.1080/13102818.2015.1134279
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Xiaodong Wang, Bin Liu, Xuesong Mei, Xialun Yun, Xiao Li, Qin Li & Xintian Wang. (2021) Genetic algorithm for dynamic parameters estimation of the machine tool worktable using the residual vibration signal. Journal of Vibration and Control 28:11-12, pages 1433-1440.
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Mohammed Adam Kunna, Tuty Asmawaty Abdul Kadir, Muhammad Akmal Remli, Noorlin Mohd Ali, Kohbalan Moorthy & Noryanti Muhammad. (2020) An Enhanced Segment Particle Swarm Optimization Algorithm for Kinetic Parameters Estimation of the Main Metabolic Model of Escherichia Coli. Processes 8:8, pages 963.
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Seung Kwan Kang, Seongho Seo, Chul-Hee Lee, Mi Jeong Kim, Su Jin Kim & Jae Sung Lee. (2020) Robust nonlinear parameter estimation in tracer kinetic analysis using infinity norm regularization and particle swarm optimization. Physica Medica 72, pages 60-72.
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Mohammed Adam Kunna Azrag, Tuty Asmawaty Abdul Kadir & Aqeel S. Jaber. (2018) Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of Escherichia Coli Metabolic Network Model . IEEE Access 6, pages 78622-78639.
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T.M. Machado-Coelho, A.M.C. Machado, L. Jaulin, P. Ekel, W. Pedrycz & G.L. Soares. (2017) An interval space reducing method for constrained problems with particle swarm optimization. Applied Soft Computing 59, pages 405-417.
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