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ORCIDNirupam Chakraborti
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2020 – today
- 2023
[j7]Raphael Costa Carvalho, Iasmin Louzada Herzog, Helcio R. B. Orlande
, Marcelo José Colaço, Italo Marcio Madeira, Nirupam Chakraborti:
Parameter estimation with the Markov Chain Monte Carlo method aided by evolutionary neural networks in a water hammer model. Comput. Appl. Math. 42(1) (2023)- [j6]Bhupinder Singh Saini, Debalay Chakrabarti, Nirupam Chakraborti, Babooshka Shavazipour, Kaisa Miettinen:
Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework. Eng. Appl. Artif. Intell. 120: 105918 (2023)
2010 – 2019
- 2013
- [j5]Brijesh Kumar Giri, Jussi Hakanen, Kaisa Miettinen, Nirupam Chakraborti:
Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives. Appl. Soft Comput. 13(5): 2613-2623 (2013) - 2010
- [e1]Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan:
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7 [contents]
2000 – 2009
- 2009
- [j4]Nirupam Chakraborti:
How multi-objective genetic algorithms handle lack of data, sparse data and excess data: evaluation of some recent case studies in the materials domain. Stat. Anal. Data Min. 1(5): 322-328 (2009) - [i2]Jörg Fliege, Nicola Beume, Jürgen Branke, Heinrich Braun, Nirupam Chakraborti, Kalyanmoy Deb, Sabine Helwig, Joshua D. Knowles, Martin Middendorf, Sanaz Mostaghim, Silvia Poles, Daniel E. Salazar Aponte, Shukla Pradymn, El-Ghazali Talbi:
09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization 2009 - 2008
- [c2]Theodor J. Stewart, Oliver Bandte, Heinrich Braun, Nirupam Chakraborti, Matthias Ehrgott, Mathias Göbelt, Yaochu Jin, Hirotaka Nakayama, Silvia Poles, Danilo Di Stefano:
Real-World Applications of Multiobjective Optimization. Multiobjective Optimization 2008: 285-327 - 2007
- [j3]Frank Pettersson, Nirupam Chakraborti, Henrik Saxén:
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data. Appl. Soft Comput. 7(1): 387-397 (2007) - [j2]Sujit R. Jangam, Nirupam Chakraborti:
A novel method for alignment of two nucleic acid sequences using ant colony optimization and genetic algorithms. Appl. Soft Comput. 7(3): 1121-1130 (2007) - [c1]Saku Kukkonen, Sujit R. Jangam, Nirupam Chakraborti:
Solving the Molecular Sequence Alignment Problem with Generalized Differential Evolution 3 (GDE3). MCDM 2007: 302-309 - 2006
- [j1]Nirupam Chakraborti, P. Mishra, A. Aggarwal, A. Banerjee, S. S. Mukherjee:
The Williams and Otto Chemical Plant re-evaluated using a Pareto-optimal formulation aided by Genetic Algorithms. Appl. Soft Comput. 6(2): 189-197 (2006) - 2005
- [i1]Nirupam Chakraborti, Barrenkala Siva Kumar, Satish V. Babu, Sri Subhrangshu Moitra, Ananya Mukhopadhyay:
Optimizing Surface Profiles during Hot Rolling: A Genetic Algorithms based Multi-objective Analysis. Practical Approaches to Multi-Objective Optimization 2005
Coauthor Index
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