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Materials and Manufacturing Processes Volume 26, 2011 - Issue 3
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Original Articles

Application of a Genetic Algorithm to Optimize Purification in the Zone Refining Process

T. Cheung Department of Materials Engineering, University of Campinas–UNICAMP, Campinas, SP, Brazil
,
N. Cheung Federal Institute of Education, Science and Technology of Sāo Paulo–IFSP, Sāo Joāo da Boa Vista, SP, Brazil
,
C. M. T. Tobar Pontifical Catholic University of Campinas, Campinas, SP, Brazil
,
R. Caram Department of Materials Engineering, University of Campinas–UNICAMP, Campinas, SP, Brazil
&
A. Garcia Department of Materials Engineering, University of Campinas–UNICAMP, Campinas, SP, BrazilCorrespondence[email protected]
Pages 493-500 | Received 28 May 2010, Accepted 23 Aug 2010, Published online: 08 Apr 2011

Citations (14)

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Read on this site (5)

Chalermsub Sangkavichitr & Prabhas Chongstitvatana. (2016) The use of explicit building blocks in evolutionary computation. International Journal of Systems Science 47:3, pages 691-706.
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Shen-Tsu Wang. (2014) Optimized Light Guide Plate Optical Brightness Parameter: Integrating Back-Propagation Neural Network (BPN) and Revised Genetic Algorithm (GA). Materials and Manufacturing Processes 29:1, pages 1-8.
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Brijesh Kumar Giri, Frank Pettersson, Henrik Saxén & Nirupam Chakraborti. (2013) Genetic Programming Evolved through Bi-Objective Genetic Algorithms Applied to a Blast Furnace. Materials and Manufacturing Processes 28:7, pages 776-782.
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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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T. Cheung, N. Cheung, C.M. T. Tobar, P.R. Mei & A. Garcia. (2013) Zone Refining of Tin: Optimization of Zone Length by a Genetic Algorithm. Materials and Manufacturing Processes 28:7, pages 746-752.
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Articles from other publishers (9)

Meng-ping DUAN, Jin-yang ZHAO, Bao-qiang XU, Ling-xin KONG, Bin YANG, He-li WAN & Cheng-cheng FU. (2023) Impurity distribution in preparation of high-purity aluminum by vacuum zone melting. Transactions of Nonferrous Metals Society of China 33:9, pages 2843-2852.
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Robert M. Forrest & A. Lindsay Greer. (2023) Evolutionary design of machine-learning-predicted bulk metallic glasses. Digital Discovery 2:1, pages 202-218.
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Zhongwen Shang, Zhengheng Lian, Minjie Li, Ke Han & Hongxing Zheng. (2023) Machine-learning-assisted multi-objective optimization in vertical zone refining of ultra-high purity indium. Separation and Purification Technology 305, pages 122430.
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Dehong Chen, Chuang Yu, Zhiqiang Wang, Xiaowei Zhang, Wenli Lu & Dongwei Zhang. (2022) Simulation of Lanthanum Purification Using a Finite Element Method. Materials 15:9, pages 3183.
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Liang Yu, Xiaoan Kang, Luona Chen, Kun Luo, Yanli Jiang & Xiuling Cao. (2021) Research Status of High-Purity Metals Prepared by Zone Refining. Materials 14:8, pages 2064.
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Heli Wan, Jinyang Zhao, Bin Yang, Baoqiang Xu, Mengping Duan, Lingxin Kong & Yongnian Dai. (2020) Study on the effective distribution coefficient of impurity separation in the preparation of high purity aluminum. Journal of Materials Research and Technology 9:5, pages 10366-10376.
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C.H. Silva-Santos, J.V.F. Morais, F. Bertelli, A. Garcia & N. Cheung. (2020) Purification of naphthalene by zone refining: Mathematical modelling and optimization by swarm intelligence-based techniques. Separation and Purification Technology 234, pages 116089.
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Huang Jun, Ren Qingbo, Hu Zuqi, Liu Xun & Meng Daqiao. (2017) Application of a Genetic Algorithm to Optimize Redistribution Process in Zone Refining of Cerium. Rare Metal Materials and Engineering 46:12, pages 3633-3638.
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V. I. Bochegov & A. S. Parakhin. (2014) Limiting impurity distribution during zone refining. Technical Physics Letters 40:6, pages 460-461.
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