Amit Kumar Das

Orcid: 0000-0002-8750-6455

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


According to our database1, Amit Kumar Das authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Prediction of rail-wheel contact parameters for a metro coach using machine learning.
Expert Syst. Appl., April, 2023

An Improved Design of Knee Orthosis Using Self-Adaptive Bonobo Optimizer (SaBO).
J. Intell. Robotic Syst., 2023

2022
Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems.
Appl. Intell., 2022

2021
Solving engineering optimization problems using an improved real-coded genetic algorithm (IRGA) with directional mutation and crossover.
Soft Comput., 2021

Meta-Heuristic Algorithms-Tuned Elman vs. Jordan Recurrent Neural Networks for Modeling of Electron Beam Welding Process.
Neural Process. Lett., 2021

Evolving fuzzy reasoning approach using a novel nature-inspired optimization tool.
Expert Syst. Appl., 2021

2020
Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization.
Knowl. Inf. Syst., 2020

2019
A novel approach for neuro-fuzzy system-based multi-objective optimization to capture inherent fuzziness in engineering processes.
Knowl. Based Syst., 2019

Performance improvement of a genetic algorithm using a novel restart strategy with elitism principle.
Int. J. Hybrid Intell. Syst., 2019

A directional crossover (DX) operator for real parameter optimization using genetic algorithm.
Appl. Intell., 2019

2018
Multi-Objective Optimization and Cluster-Wise Regression Analysis to Establish Input-Output Relationships of a Process.
Proceedings of the Multi-Objective Optimization - Evolutionary to Hybrid Framework, 2018

2017
A Novel Restart Strategy for Solving Complex Multi-modal Optimization Problems Using Real-Coded Genetic Algorithm.
Proceedings of the Intelligent Systems Design and Applications, 2017


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