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Amit Kumar Das 0003

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affiliation: National Institute of Industrial Engineering (NITIE), Mumbai, India
affiliation (former): Indian Institute of Technology Kharagpur, Department of Mechanical Engineering, India

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2020 – today

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2023
[j10]
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  - journals/eswa/SinghDSR23
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Sudhir Kumar Singh, Amit Kumar Das, Sanjay R. Singh, Vikranth Racherla:
Prediction of rail-wheel contact parameters for a metro coach using machine learning. Expert Syst. Appl. 215: 119343 (2023)
[j9]
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  - journals/jirs/DasSP23
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Amit Kumar Das, Saikat Sahoo, Dilip Kumar Pratihar:
An Improved Design of Knee Orthosis Using Self-Adaptive Bonobo Optimizer (SaBO). J. Intell. Robotic Syst. 107(1): 8 (2023)
2022
[j8]
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  - journals/apin/DasP22
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Amit Kumar Das, Dilip Kumar Pratihar:
Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems. Appl. Intell. 52(3): 2942-2974 (2022)
2021
[j7]
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Amit Kumar Das, Bitan Pratihar, Dilip Kumar Pratihar:
Evolving fuzzy reasoning approach using a novel nature-inspired optimization tool. Expert Syst. Appl. 170: 114577 (2021)
[j6]
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  - journals/npl/DasDPJPR21
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Debasish Das, Amit Kumar Das, Abhishek Rudra Pal, Sanjib Jaypuria, Dilip Kumar Pratihar, Gour Gopal Roy:
Meta-Heuristic Algorithms-Tuned Elman vs. Jordan Recurrent Neural Networks for Modeling of Electron Beam Welding Process. Neural Process. Lett. 53(2): 1647-1663 (2021)
[j5]
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  - journals/soco/DasP21
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Amit Kumar Das, Dilip Kumar Pratihar:
Solving engineering optimization problems using an improved real-coded genetic algorithm (IRGA) with directional mutation and crossover. Soft Comput. 25(7): 5455-5481 (2021)
2020
[j4]
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  - journals/kais/DasNKP20
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Amit Kumar Das, Ankit Kumar Nikum, Siva Vignesh Krishnan, Dilip Kumar Pratihar:
Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization. Knowl. Inf. Syst. 62(11): 4407-4444 (2020)

2010 – 2019

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2019
[j3]
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Amit Kumar Das, Dilip Kumar Pratihar:
A directional crossover (DX) operator for real parameter optimization using genetic algorithm. Appl. Intell. 49(5): 1841-1865 (2019)
[j2]
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Amit Kumar Das, Dilip Kumar Pratihar:
Performance improvement of a genetic algorithm using a novel restart strategy with elitism principle. Int. J. Hybrid Intell. Syst. 15(1): 1-15 (2019)
[j1]
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Amit Kumar Das, Dilip Kumar Pratihar:
A novel approach for neuro-fuzzy system-based multi-objective optimization to capture inherent fuzziness in engineering processes. Knowl. Based Syst. 175: 1-11 (2019)
2018
[p1]
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  - books/sp/18/DasDP18
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Amit Kumar Das, Debasish Das, Dilip Kumar Pratihar:
Multi-Objective Optimization and Cluster-Wise Regression Analysis to Establish Input-Output Relationships of a Process. Multi-Objective Optimization 2018: 299-318
2017
[c1]
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Amit Kumar Das, Dilip Kumar Pratihar:
A Novel Restart Strategy for Solving Complex Multi-modal Optimization Problems Using Real-Coded Genetic Algorithm. ISDA 2017: 32-41

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