Citations (59)
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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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Bashista Kumar Mahanta, Sidhartha Sarkar, Prodip Kumar Sen & Nirupam Chakraborti. (2022) Consequence of natural gas injection in blast furnace: a critical appraisal using a thermodynamic and evolutionary computation approach. Canadian Metallurgical Quarterly 61:1, pages 1-13.
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Sagnik Chowdhury, Nirupam Chakraborti & Prodip Kumar Sen. (2021) Energy Optimization Studies for Integrated Steel Plant Employing Diverse Steel-Making Route: Models and Evolutionary Algorithms-Based Approach. Mineral Processing and Extractive Metallurgy Review 42:6, pages 355-366.
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Swagata Roy, Bhupinder Singh Saini, Debalay Chakrabarti & Nirupam Chakraborti. (2020) Mechanical properties of micro-alloyed steels studied using a evolutionary deep neural network. Materials and Manufacturing Processes 35:6, pages 611-624.
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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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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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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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Hira Zaheer & Millie Pant. (2017) Solution to industrial optimization problems through differential evolution variants. Materials and Manufacturing Processes 32:10, pages 1131-1143.
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Priyanka Devi Pantula, Srinivas Soumitri Miriyala & Kishalay Mitra. (2017) KERNEL: Enabler to build smart surrogates for online optimization and knowledge discovery. Materials and Manufacturing Processes 32:10, pages 1162-1171.
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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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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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Amir H. Gandomi & Gun Jin Yun. (2015) Coupled SelfSim and genetic programming for non-linear material constitutive modelling. Inverse Problems in Science and Engineering 23:7, pages 1101-1119.
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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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Yiming Li & Chieh-Yang Chen. (2015) Capacitance Characteristic Optimization of Germanium MOSFETs with Aluminum Oxide by Using a Semiconductor-Device-Simulation-Based Multi-Objective Evolutionary Algorithm Method. Materials and Manufacturing Processes 30:4, pages 520-528.
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R. Jha, F. Pettersson, G. S. Dulikravich, H. Saxen & N. Chakraborti. (2015) Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies. Materials and Manufacturing Processes 30:4, pages 488-510.
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Renu Tyagi, Millie Pant, Yuvraj Singh Negi & Musrrat Ali. (2015) Optimization of the Electrical Performance of Polymeric Films. Materials and Manufacturing Processes 30:4, pages 464-473.
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Zoran Lestan, Simon Klancnik, Joze Balic & Miran Brezocnik. (2015) Modeling and Design of Experiments of Laser Cladding Process by Genetic Programming and Nondominated Sorting. Materials and Manufacturing Processes 30:4, pages 458-463.
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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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Miha Kovačič. (2015) Modeling of Total Decarburization of Spring Steel with Genetic Programming. Materials and Manufacturing Processes 30:4, pages 434-443.
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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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Anitha Mogilicharla, Prateek Mittal, Saptarshi Majumdar & Kishalay Mitra. (2015) Kriging Surrogate Based Multi-objective Optimization of Bulk Vinyl Acetate Polymerization with Branching. Materials and Manufacturing Processes 30:4, pages 394-402.
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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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Wuyi Ming, Zhen Zhang, Guojun Zhang, Yu Huang, Jianwen Guo & Yuan Chen. (2014) Multi-Objective Optimization of 3D-Surface Topography of Machining YG15 in WEDM. Materials and Manufacturing Processes 29:5, pages 514-525.
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Farshid Jafarian, Hossein Amirabadi, Javad Sadri & Hamid
Reza Banooie. (2014) Simultaneous Optimizing Residual Stress and Surface Roughness in Turning of Inconel718 Superalloy. Materials and Manufacturing Processes 29:3, pages 337-343.
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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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Y.C. Li, X.Q. Zhou, M.M. Lu, J.Q. Lin & J.B. Sun. (2014) Parameters Optimization for Machining Optical Parts of Difficult-To-cut Materials by Genetic Algorithm. Materials and Manufacturing Processes 29:1, pages 9-14.
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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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Daniel Teixidor, Joaquim Ciurana & Ciro Rodríguez. (2013) Multiobjective Optimization of Laser Milling Parameters of Microcavities for the Manufacturing of DES. Materials and Manufacturing Processes 28:12, pages 1370-1378.
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Bashista Kumar Mahanta, Prakash Gupta, Itishree Mohanty, Tapas Kumar Roy & Nirupam Chakraborti. (2023) Evolutionary data driven modeling and tri-objective optimization for noisy BOF steel making data. Digital Chemical Engineering 7, pages 100094.
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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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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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Shun Guo, Jinxin Yu, Xingjun Liu, Cuiping Wang & Qingshan Jiang. (2019) A predicting model for properties of steel using the industrial big data based on machine learning. Computational Materials Science 160, pages 95-104.
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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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Rajesh Jha, Nirupam Chakraborti, David R. Diercks, Aaron P. Stebner & Cristian V. Ciobanu. (2018) Combined machine learning and CALPHAD approach for discovering processing-structure relationships in soft magnetic alloys. Computational Materials Science 150, pages 202-211.
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Manwendra K. Tripathi, Subhas Ganguly, Partha Dey & P.P. Chattopadhyay. (2016) Evolution of glass forming ability indicator by genetic programming. Computational Materials Science 118, pages 56-65.
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Srinivas Soumitri Miriyala, Prateek Mittal, Saptarshi Majumdar & Kishalay Mitra. (2016) Comparative study of surrogate approaches while optimizing computationally expensive reaction networks. Chemical Engineering Science 140, pages 44-61.
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Nirupam Chakraborti. 2016. Computational Approaches to Materials Design. Computational Approaches to Materials Design
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Ngoc-Trung Nguyen, Krishnaswamy Hariharan, Nirupam Chakraborti, Frédéric Barlat & Myoung-Gyu Lee. (2015) Springback Reduction in Tailor Welded Blank with High Strength Differential by Using Multi-Objective Evolutionary and Genetic Algorithms. steel research international 86:11, pages 1391-1402.
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H. Goyal, N. Mandal, H. Roy, S. K. Mitra & B. Mondal. (2014) Multi Response Optimization for Processing Al–SiCp Composites: An Approach Towards Enhancement of Mechanical Properties. Transactions of the Indian Institute of Metals 68:3, pages 453-463.
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Krishnaswamy Hariharan, Ngoc-Trung Nguyen, Nirupam Chakraborti, Myoung-Gyu Lee & Frédéric Barlat. (2014) Multi-Objective Genetic Algorithm to Optimize Variable Drawbead Geometry for Tailor Welded Blanks Made of Dissimilar Steels. steel research international 85:12, pages 1597-1607.
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Karupanan Balamurugan, Jiju V Elies, Paul Sathiya & Abdullah Naveen Sait. (2014) Optimization of Friction Welding Parameters of AISI 904L Super Austenitic Stainless Steel by Evolutionary Computational Techniques. Materials Testing 56:3, pages 245-250.
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Rajesh Jha, Prodip Kumar Sen & Nirupam Chakraborti. (2014) Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach. steel research international 85:2, pages 219-232.
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