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Materials Science and Technology Volume 30, 2014 - Issue 11
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Critical assessment

Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research

Nirupam ChakrabortiMetallurgical & Materials EngineeringIndian Institute of Technology, Kharagpur, IndiaCorrespondence[email protected].
Pages 1259-1262 | Received 17 Apr 2014, Accepted 02 May 2014, Published online: 09 May 2014

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Dominik Vondráček, Zdeněk Padovec, Tomáš Mareš & Nirupam Chakraborti. (2023) Optimization of dome shape for filament wound pressure vessels using data-driven evolutionary algorithms. Materials and Manufacturing Processes 38:15, pages 1899-1910.
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Sunil Kumar, K Hariharan & Ravikumar Digavalli. (2020) Hybrid optimization of die design in constrained groove pressing. Materials and Manufacturing Processes 35:6, pages 687-699.
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Bashista Kumar Mahanta & Nirupam Chakraborti. (2020) Tri-objective optimization of noisy dataset in blast furnace iron-making process using evolutionary algorithms. Materials and Manufacturing Processes 35:6, pages 677-686.
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Daniel Bachniak, Lukasz Rauch, Maciej Pietrzyk & Jan Kusiak. (2017) Selection of the optimization method for identification of phase transformation models for steels. Materials and Manufacturing Processes 32:11, pages 1248-1259.
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N. Chandrasekhar, M. Ragavendran, R. Ravikumar, M. Vasudevan & S. Murugan. (2017) Optimization of hybrid laser–TIG welding of 316LN stainless steel using genetic algorithm. Materials and Manufacturing Processes 32:10, pages 1094-1100.
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Umesh Khandey, Sudarsan Ghosh & Krishnaswamy Hariharan. (2017) Machining parameters optimization for satisfying the multiple objectives in machining of MMCs. Materials and Manufacturing Processes 32:10, pages 1082-1093.
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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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Manwendra K. Tripathi, P. P. Chattopadhyay & Subhas Ganguly. (2017) Evolutionary intelligence in design and synthesis of bulk metallic glasses by mechanical alloying. Materials and Manufacturing Processes 32:10, pages 1059-1066.
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Yanjuan Hu, Xingfu Chang, Yao Wang, Zhanli Wang, Chao Shi & Lizhe Wu. (2017) Cloud manufacturing resources fuzzy classification based on genetic simulated annealing algorithm. Materials and Manufacturing Processes 32:10, pages 1109-1115.
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Klemen Stopar, Miha Kovačič, Peter Kitak & Jože Pihler. (2017) Electric arc modeling of the EAF using differential evolution algorithm. Materials and Manufacturing Processes 32:10, pages 1189-1200.
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Vibhu Trivedi, Shiv Prakash & Manojkumar Ramteke. (2017) Optimized on-line control of MMA polymerization using fast multi-objective DE. Materials and Manufacturing Processes 32:10, pages 1144-1151.
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Jacek Jackiewicz. (2017) Manufacturing of instructional aids for students at low cost by means of 3D printing. Materials and Manufacturing Processes 32:10, pages 1116-1130.
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Karimulla Shah, Rishav Kumar, Sibasis Sahoo, R. S. Pais, Debalay Chakrabarti & Nirupam Chakraborti. (2017) Optimization of annealing cycle parameters of dual phase and interstitial free steels by multiobjective genetic algorithms. Materials and Manufacturing Processes 32:10, pages 1201-1208.
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Tamoghna Mitra, Frank Pettersson, Henrik Saxén & Nirupam Chakraborti. (2017) Blast furnace charging optimization using multi-objective evolutionary and genetic algorithms. Materials and Manufacturing Processes 32:10, pages 1179-1188.
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A. Goswami, K. Singh, S. Aravindan & P. V. Rao. (2017) Optimizing FIB milling process parameters for silicon and its use in nanoreplication. Materials and Manufacturing Processes 32:10, pages 1052-1058.
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C. Halder, M. Sitko, L. Madej, M. Pietrzyk & N. Chakraborti. (2016) Optimised recrystallisation model using multiobjective evolutionary and genetic algorithms and k-optimality approach. Materials Science and Technology 32:4, pages 366-374.
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S. Nagaraju, P. Vasantharaja, N. Chandrasekhar, M. Vasudevan & T. Jayakumar. (2016) Optimization of Welding Process Parameters for 9Cr-1Mo Steel Using RSM and GA. Materials and Manufacturing Processes 31:3, pages 319-327.
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Q. Zhang, M. Mahfouf, G. Panoutsos, K. Beamish & X. Liu. (2015) Multiobjective optimal design of friction stir welding considering quality and cost issues. Science and Technology of Welding and Joining 20:7, pages 607-615.
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Chandan Halder, Lukasz Madej, Maciej Pietrzyk & Nirupam Chakraborti. (2015) Optimization of Cellular Automata Model for the Heating of Dual-Phase Steel by Genetic Algorithm and Genetic Programming. Materials and Manufacturing Processes 30:4, pages 552-562.
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Felix Flegiel, Shivom Sharma & G. P. Rangaiah. (2015) Development and Multiobjective Optimization of Improved Cumene Production Processes. Materials and Manufacturing Processes 30:4, pages 444-457.
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Yiğit M. Arisoy & Tuğrul Özel. (2015) Machine Learning Based Predictive Modeling of Machining Induced Microhardness and Grain Size in Ti–6Al–4V Alloy. Materials and Manufacturing Processes 30:4, pages 425-433.
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Felipe Bertelli, Carlos H. Silva-Santos, Débora J. Bezerra, Noé Cheung & Amauri Garcia. (2015) An Effective Inverse Heat Transfer Procedure Based on Evolutionary Algorithms to Determine Cooling Conditions of a Steel Continuous Casting Machine. Materials and Manufacturing Processes 30:4, pages 414-424.
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Krishnaswamy Hariharan, Ngoc-Trung Nguyen, Nirupam Chakraborti, Frédéric Barlat & Myoung-Gyu Lee. (2015) Determination of Anisotropic Yield Coefficients by a Data-Driven Multiobjective Evolutionary and Genetic Algorithm. Materials and Manufacturing Processes 30:4, pages 403-413.
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Ali Akbar Amooey, Mohammad Mousapour & Seyed Reza Nabavi. (2023) Multiobjective particles swarm optimization and multicriteria decision making of improved cumene production process including economic, environmental, and safety criteria. The Canadian Journal of Chemical Engineering.
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Mehmet Alper Sofuoğlu. (2021) A new biomaterial selection approach using reference ideal method. Sādhanā 46:1.
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Manish Kumar Singh, Chandan Halder, Saurabh Dixit & Snehanshu Pal. (2021) Correlation and Optimization of Phosphorous Content in Liquid Steel with Turndown Temperature and FeO Content in Slag for Steel Making by LD Converter by Implementing Multi-Objective Evolutionary and Genetic Algorithms. Transactions of the Indian Institute of Metals 74:11, pages 2787-2799.
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Swagata Roy, Amlan Dutta & Nirupam Chakraborti. (2021) A novel method of determining interatomic potential for Al and Al-Li alloys and studying strength of Al-Al3Li interphase using evolutionary algorithms. Computational Materials Science 190, pages 110258.
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Tsung-Jung Hsieh. (2020) Data-driven oriented optimization of resource allocation in the forging process using Bi-objective Evolutionary Algorithm. Engineering Applications of Artificial Intelligence 89, pages 103469.
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Ephraim Nissan. (2019) An Overview of AI Methods for in-Core Fuel Management: Tools for the Automatic Design of Nuclear Reactor Core Configurations for Fuel Reload, (Re)arranging New and Partly Spent Fuel. Designs 3:3, pages 37.
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Chidozie Chukwuemeka Nwobi-Okoye, Basil Quent Ochieze & Stanley Okiy. (2019) Multi-objective optimization and modeling of age hardening process using ANN, ANFIS and genetic algorithm: Results from aluminum alloy A356/cow horn particulate composite. Journal of Materials Research and Technology 8:3, pages 3054-3075.
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Qian Zhang & Xiaoxiao Liu. 2019. Optimization in Industry. Optimization in Industry 299 329 .
Debanjana Bhattacharyya, Prabodh Ranjan Padhee, Prabir Kumar Das, Chandan Halder & Snehanshu Pal. (2018) Data-Driven Bi-Objective Genetic Algorithms EvoNN Applied to Optimize Dephosphorization Process during Secondary Steel Making Operation for Producing LPG (Liquid Petroleum Gas Cylinder) Grade of Steel. steel research international 89:8, pages 1800095.
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Snehanshu Pal & Chandan Halder. (2017) Optimization of Phosphorous in Steel Produced by Basic Oxygen Steel Making Process Using Multi-Objective Evolutionary and Genetic Algorithms. steel research international 88:3, pages 1600193.
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Chandan Halder, Anish Karmakar, Sk. Md. Hasan, Debalay Chakrabarti, Maciej Pietrzyk & Nirupam Chakraborti. (2016) Effect of Carbon Distribution During the Microstructure Evolution of Dual-Phase Steels Studied Using Cellular Automata, Genetic Algorithms, and Experimental Strategies. Metallurgical and Materials Transactions A 47:12, pages 5890-5906.
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Kaibalya Mohanty, Tamoghna Mitra, Henrik Saxén & Nirupam Chakraborti. (2016) Multiple Criteria in a Top Gas Recycling Blast Furnace Optimized through a k -Optimality-Based Genetic Algorithm . steel research international 87:10, pages 1284-1294.
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