Saroj Kumar sahoo

About

My name is Saroj Kumar Sahoo. My home town is Odisha. I have done my graduation in Math (Hons.) from Ravenshaw University, Odisha and completed M.Sc. (2013) and M.Phil. (2015) in Mathematics from Utkal University, Odisha. I have submitted my Thesis on 7th November 2023 in the department of mathematics, NIT Agartala, Tripura, India. My research area includes optimization Techniques, Nature inspired algorithms and its applications in different fields, Multi-objective Optimization algorithms, Image Segmentation Problems.

Employment

• Government college of engineering kalahandi, Bhawanipatna Asst. Prof. (Guest faculty)
  2015 - 2018

Education

• National Institute of Technology Agartala Ph.D (Thesis Submitted)
  2019 - 2023
• Utkal University Master in Philosophy
  2014 - 2015
• Utkal University Master in Science
  2011 - 2013
• Ravenshaw University Bachelor in Science
  2008 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• A random weight and random best solution based improved whale optimization algorithm for optimization issues
  Handbook of Whale Optimization Algorithm 2024 DOI: 10.1016/b978-0-32-395365-8.00023-3
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• F-WOA: an improved whale optimization algorithm based on Fibonacci search principle for global optimization
  Handbook of Whale Optimization Algorithm 2024 DOI: 10.1016/b978-0-32-395365-8.00022-1
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• Multi-objective quasi-reflection learning and weight strategy-based moth flame optimization algorithm
  Neural Computing and Applications 2023 DOI: 10.1007/s00521-023-09234-0
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• Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2023.120367
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• An Amended Moth Flame Optimization Algorithm Based on Fibonacci Search Approach for Solving Engineering Design Problems
  Mathematics and Computer Science Volume 2 2023 DOI: 10.1002/9781119896715.ch18
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• A Novel Variant of Moth Flame Optimizer for Higher Dimensional Optimization Problems
  Journal of Bionic Engineering 2023 DOI: 10.1007/s42235-023-00357-7
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• Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications
  Archives of Computational Methods in Engineering 2023 DOI: 10.1007/s11831-022-09801-z
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• An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
  Artificial Intelligence Review 2022 DOI: 10.1007/s10462-022-10218-0
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• A Hybrid Moth Flame Optimization Algorithm for Global Optimization
  Journal of Bionic Engineering 2022 DOI: 10.1007/s42235-022-00207-y
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• An enhanced moth flame optimization with mutualism scheme for function optimization
  Soft Computing 2022 DOI: 10.1007/s00500-021-06560-0
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