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Materials and Manufacturing Processes Volume 18, 2003 - Issue 3
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Original Articles

The Optimal Scheduling of a Reversing Strip Mill: Studies Using Multipopulation Genetic Algorithms and Differential Evolution

N. Chakraborti Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, India; Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur 721 302, West Bengal, IndiaCorrespondence[email protected]
&
A. Kumar Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, India; Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur 721 302, West Bengal, IndiaCorrespondence[email protected]
Pages 433-445 | Published online: 07 Feb 2007

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Nirupam Chakraborti$suffix/text()$suffix/text(). (2017) Editorial: The call of a genetic Tambourine man. Materials and Manufacturing Processes 32:10, pages 1051-1051.
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Nirupam Chakraborti. (2015) Guest Editorial: Counting All Those Genetic Years. Materials and Manufacturing Processes 30:4, pages 393-393.
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Nirupam Chakraborti. (2013) Editorial: Mapping the Genetic Constellation. Materials and Manufacturing Processes 28:7, pages 707-707.
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Wojciech Paszkowicz. (2013) Genetic Algorithms, a Nature-Inspired Tool: A Survey of Applications in Materials Science and Related Fields: Part II. Materials and Manufacturing Processes 28:7, pages 708-725.
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Nirupam Chakraborti$suffix/text()$suffix/text(). (2011) Editorial: Following a Genetic Hunch. Materials and Manufacturing Processes 26:3, pages 347-347.
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Nirupam Chakraborti. (2009) Editorial: The Flight of the Fourth Genetic Bird. Materials and Manufacturing Processes 24:3, pages 242-242.
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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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Miha Kovacic, Peter Uratnik, Miran Brezocnik & Radomir Turk. (2007) Prediction of the Bending Capability of Rolled Metal Sheet by Genetic Programming. Materials and Manufacturing Processes 22:5, pages 634-640.
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N. Chakraborti, S. Das, R. Jayakanth, R. Pekoz & Ş. Erkoç. (2007) Genetic Algorithms Applied to Li+ Ions Contained in Carbon Nanotubes: An Investigation Using Particle Swarm Optimization and Differential Evolution Along with Molecular Dynamics. Materials and Manufacturing Processes 22:5, pages 562-569.
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N. Chakraborti$suffix/text()$suffix/text(). (2007) Editorial. Materials and Manufacturing Processes 22:5, pages 531-531.
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N. Chakraborti. (2005) Genetic algorithms in these changing steel times. Ironmaking & Steelmaking 32:5, pages 401-404.
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Miran Brezocnik, Miha Kovacic & Leo Gusel. (2005) Comparison Between Genetic Algorithm and Genetic Programming Approach for Modeling the Stress Distribution. Materials and Manufacturing Processes 20:3, pages 497-508.
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R. Nandan, R. Rai, R. Jayakanth, S. Moitra, N. Chakraborti & A. Mukhopadhyay. (2005) Regulating Crown and Flatness During Hot Rolling: A Multiobjective Optimization Study Using Genetic Algorithms. Materials and Manufacturing Processes 20:3, pages 459-478.
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N. Chakraborti. (2004) Genetic algorithms in materials design and processing. International Materials Reviews 49:3-4, pages 246-260.
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Articles from other publishers (21)

Lulu Song, Ying Meng, Qingxin Guo & Xinchang Gong. (2023) Improved Differential Evolution Algorithm for Slab Allocation and Hot-Rolling Scheduling Integration Problem. Mathematics 11:9, pages 2050.
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Sudarshan Nandy & Anirban Mitra. 2022. Deep Learning in Data Analytics. Deep Learning in Data Analytics 191 205 .
Carlos A. Hernández Carreón, Juana E. Mancilla Tolama, Guadalupe Castilla Valdez & Iván Hernández González. (2019) Multi-Objective Optimization of the Hot Rolling Scheduling of Steel Using a Genetic Algorithm. MRS Advances 4:61-62, pages 3373-3380.
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Haiping Ma, Shigen Shen, Mei Yu, Zhile Yang, Minrui Fei & Huiyu Zhou. (2019) Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey. Swarm and Evolutionary Computation 44, pages 365-387.
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Itziar Marquez, Maribel Arribas, Ana Carrillo & Jose Luis Arana. (2013) Optimisation of total roll power using genetic algorithms in a compact strip production plant. International Journal of Materials Research 104:7, pages 686-696.
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Dawei Du & Dan Simon. (2013) Complex System Optimization Using Biogeography-Based Optimization. Mathematical Problems in Engineering 2013, pages 1-17.
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Antonin Ponsich & Carlos A. Coello Coello. (2013) A hybrid Differential Evolution—Tabu Search algorithm for the solution of Job-Shop Scheduling Problems. Applied Soft Computing 13:1, pages 462-474.
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Carlos A. Hernández Carreón, Héctor J. Fraire-Huacuja, Karla Espriella Fernandez, Guadalupe Castilla-Valdez & Juana E. Mancilla Tolama. 2009. International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008) 471 480 .
N. Chakraborti, B. Siva Kumar, V. Satish Babu, S. Moitra & A. Mukhopadhyay. (2008) A new multi-objective genetic algorithm applied to hot-rolling process. Applied Mathematical Modelling 32:9, pages 1781-1789.
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D. Karaboga & B. Basturk. (2008) On the performance of artificial bee colony (ABC) algorithm. Applied Soft Computing 8:1, pages 687-697.
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B.V. Babu & S.A. Munawar. (2007) Differential evolution strategies for optimal design of shell-and-tube heat exchangers. Chemical Engineering Science 62:14, pages 3720-3739.
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N. Chakraborti, R. Jayakanth, S. Das, E. D. Çalişir & Ş. Erkoç. (2007) Evolutionary and Genetic Algorithms Applied to Li+-C System: Calculations Using Differential Evolution and Particle Swarm Algorithm. Journal of Phase Equilibria and Diffusion 28:2, pages 140-149.
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F. Pettersson, N. Chakraborti & H. Saxén. (2007) A genetic algorithms based multi-objective neural net applied to noisy blast furnace data. Applied Soft Computing 7:1, pages 387-397.
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Victor Oduguwa, Rajkumar Roy & Didier Farrugia. (2007) Development of a soft computing-based framework for engineering design optimisation with quantitative and qualitative search spaces. Applied Soft Computing 7:1, pages 166-188.
Crossref
Carlos A. Hernández Carreón, Héctor J. Fraire Huacuja, Karla Espriella Fernandez, Guadalupe Castilla Valdez & Juana E. Mancilla Tolama. 2007. Innovations in Hybrid Intelligent Systems. Innovations in Hybrid Intelligent Systems 247 254 .
N. Chakraborti, B. Siva Kumar, V. Satish Babu, S. Moitra & A. Mukhopadhyay. (2006) Optimizing surface profiles during hot rolling: A genetic algorithms based multi-objective optimization. Computational Materials Science 37:1-2, pages 159-165.
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Rakesh Angira & B.V. Babu. (2006) Optimization of process synthesis and design problems: A modified differential evolution approach. Chemical Engineering Science 61:14, pages 4707-4721.
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Tushar D. Rane, Rinku Dewri, Sudipto Ghosh, N. Chakraborti & Kishalay Mitra. (2005) Modeling the recrystallization process using inverse cellular automata and genetic algorithms: Studies using differential evolution. Journal of Phase Equilibria and Diffusion 26:4, pages 311-321.
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R Dewri & N Chakraborti. (2005) Simulating recrystallization through cellular automata and genetic algorithms. Modelling and Simulation in Materials Science and Engineering 13:2, pages 173-183.
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N. Chakraborti & P. K. Jha. (2004) Pb-S-O vapor system re-evaluated using genetic algorithms. Journal of Phase Equilibria and Diffusion 25:5, pages 421-426.
Crossref
Victor Oduguwa, Ashutosh Tiwari & Rajkumar Roy. 2004. Parallel Problem Solving from Nature - PPSN VIII. Parallel Problem Solving from Nature - PPSN VIII 782 791 .

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