Optimizing Surface Profiles during Hot Rolling: A Genetic Algorithms based Multi-objective Analysis. - Nirupam Chakraborti; Barrenkala Siva Kumar; Satish V. Babu; Sri Subhrangshu Moitra; Ananya Mukhopadhyay (Practical Approaches to Multi-Objective Optimization, 2005)

The Williams and Otto Chemical Plant re-evaluated using a Pareto-optimal formulation aided by Genetic Algorithms. - Nirupam Chakraborti; P. Mishra; A. Aggarwal; A. Banerjee; S. S. Mukherjee (Appl. Soft Comput., 2006)

Solving the Molecular Sequence Alignment Problem with Generalized Differential Evolution 3 (GDE3). - Saku Kukkonen; Sujit R. Jangam; Nirupam Chakraborti (MCDM, 2007)

A novel method for alignment of two nucleic acid sequences using ant colony optimization and genetic algorithms. - Sujit R. Jangam; Nirupam Chakraborti (Appl. Soft Comput., 2007)

A genetic algorithms based multi-objective neural net applied to noisy blast furnace data. - Frank Pettersson; Nirupam Chakraborti; Henrik Saxén (Appl. Soft Comput., 2007)

Real-World Applications of Multiobjective Optimization. - Theodor J. Stewart; Oliver Bandte; Heinrich Braun; Nirupam Chakraborti; Matthias Ehrgott; Mathias Göbelt; Yaochu Jin; Hirotaka Nakayama; Silvia Poles; Danilo Di Stefano (Multiobjective Optimization, 2008)

09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). - 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; et al. (Hybrid and Robust Approaches to Multiobjective Optimization, 2009)

How multi-objective genetic algorithms handle lack of data, sparse data and excess data: evaluation of some recent case studies in the materials domain. - Nirupam Chakraborti (Stat. Anal. Data Min., 2009)

Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives. - Brijesh Kumar Giri; Jussi Hakanen; Kaisa Miettinen; Nirupam Chakraborti (Appl. Soft Comput., 2013)

Parameter estimation with the Markov Chain Monte Carlo method aided by evolutionary neural networks in a water hammer model. - Raphael Costa Carvalho; Iasmin Louzada Herzog; Helcio R. B. Orlande; Marcelo José Colaço; Italo Marcio Madeira; Nirupam Chakraborti (Comput. Appl. Math., 2023)

Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework. - Bhupinder Singh Saini; Debalay Chakrabarti; Nirupam Chakraborti; Babooshka Shavazipour; Kaisa Miettinen (Eng. Appl. Artif. Intell., 2023)