Vikram Kumar Kamboj

Orcid: 0000-0003-2016-6852

According to our database1, Vikram Kumar Kamboj authored at least 24 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Memetic Approach to Multi-Disciplinary Design and Numerical Optimization Problems using Intensify Slime Mould Optimizer.
Appl. Intell., 2024

2023
A boosted chimp optimizer for numerical and engineering design optimization challenges.
Eng. Comput., August, 2023

An improved Chaotic Harris Hawks Optimizer for solving numerical and engineering optimization problems.
Eng. Comput., April, 2023

Design of tunnel FET architectures for low power application using improved Chimp optimizer algorithm.
Eng. Comput., April, 2023

A levy flight based strategy to improve the exploitation capability of arithmetic optimization algorithm for engineering global optimization problems.
Trans. Emerg. Telecommun. Technol., April, 2023

Chaotic American zebra search optimization algorithm for benchmark challenges.
Proceedings of the 15th International Conference on Electronics, 2023

Optimal Sizing of Security Constrained Unit Commitment Problem Integrated with Renewable Energy Sources and PEVs.
Proceedings of the 15th International Conference on Electronics, 2023

2022
hSMA-PS: a novel memetic approach for numerical and engineering design challenges.
Eng. Comput., 2022

Correction to: An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm.
Eng. Comput., 2022

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm.
Eng. Comput., 2022

2021
Application of ameliorated Harris Hawks optimizer for designing of low-power signed floating-point MAC architecture.
Neural Comput. Appl., 2021

A novel statistical approach to numerical and multidisciplinary design optimization problems using pattern search inspired Harris hawks optimizer.
Neural Comput. Appl., 2021

A solution to statistical and multidisciplinary design optimization problems using hGWO-SA algorithm.
Neural Comput. Appl., 2021

2020
Early Detection of Covid-19 in Canadian Provinces and its Anticipatory Measures for a Medical Emergency.
SN Comput. Sci., 2020

An optimum forceful generation scheduling and unit commitment of thermal power system using sine cosine algorithm.
Neural Comput. Appl., 2020

An intensify Harris Hawks optimizer for numerical and engineering optimization problems.
Appl. Soft Comput., 2020

2019
Optimal generation scheduling and dispatch of thermal generating units considering impact of wind penetration using hGWO-RES algorithm.
Appl. Intell., 2019

2017
Multiobjective multiarea unit commitment using hybrid differential evolution algorithm considering import/export and tie-line constraints.
Neural Comput. Appl., 2017

A novel hybrid DE-random search approach for unit commitment problem.
Neural Comput. Appl., 2017

Hybrid HS-random search algorithm considering ensemble and pitch violation for unit commitment problem.
Neural Comput. Appl., 2017

Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer.
Neural Comput. Appl., 2017

2016
Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer.
Neural Comput. Appl., 2016

A novel hybrid PSO-GWO approach for unit commitment problem.
Neural Comput. Appl., 2016

2014
Scope of Biogeography Based Optimization for Economic Load Dispatch and Multi-Objective Unit Commitment Problem.
Int. J. Energy Optim. Eng., 2014


  Loading...