Tarun Kumar Ghosh

According to our database, Tarun Kumar Ghosh authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Archimedes optimizer-based fast and robust fuzzy clustering for noisy image segmentation.

Krishna Gopal Dhal, Arunita Das, Swarnajit Ray, Rebika Rai, Tarun Kumar Ghosh

J. Supercomput., March, 2023

2022

Teaching learning-based optimisation for job scheduling in computational grids.

Tarun Kumar Ghosh, Sanjoy Das

Int. J. Adv. Intell. Paradigms, 2022

2019

Job Scheduling in Computational Grid Using a Hybrid Algorithm Based on Genetic Algorithm and Particle Swarm Optimization.

Tarun Kumar Ghosh, Sanjoy Das, Nabin Ghoshal

Proceedings of the Recent Advances in Intelligent Information Systems and Applied Mathematics, 2019

2018

Job Scheduling in Computational Grid Using a Hybrid Algorithm Based on Particle Swarm Optimization and Extremal Optimization.

Tarun Kumar Ghosh, Sanjoy Das

J. Inf. Technol. Res., 2018

A Novel Hybrid Algorithm Based on Firefly Algorithm and Differential Evolution for Job Scheduling in Computational Grid.

Tarun Kumar Ghosh, Sanjoy Das

Int. J. Distributed Syst. Technol., 2018

Efficient Job Scheduling in Computational Grid Systems Using Wind Driven Optimization Technique.

Tarun Kumar Ghosh, Sanjoy Das

Int. J. Appl. Metaheuristic Comput., 2018

2017

Job scheduling in computational grid based on an improved cuckoo search method.

Tarun Kumar Ghosh, Sanjoy Das, Subhabrata Barman, Rajmohan Goswami

Int. J. Comput. Appl. Technol., 2017

2016

A Modified Binary PSO Algorithm for Scheduling Independent Jobs in Grid Computing System.

Tarun Kumar Ghosh, Sanjoy Das

Int. J. Next Gener. Comput., 2016

A Hybrid Algorithm Using Genetic Algorithm and Cuckoo Search Algorithm to Solve Job Scheduling Problem in Computational Grid Systems.

Tarun Kumar Ghosh, Sanjoy Das

Int. J. Appl. Evol. Comput., 2016