Chaotic hybrid multi-objective optimization algorithm for scientific workflow scheduling in multisite clouds-Reference-Cited by-同舟云学术

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Chaotic hybrid multi-objective optimization algorithm for scientific workflow scheduling in multisite clouds

Published:2023-04-19 Issue: Volume: Page:1-22
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Mohammadzadeh Ali¹,Javaheri Danial²^ORCID,Artin Javad³

Affiliation:

1. Department of Computer Engineering, Shahindezh Branch, Islamic Azad University, Shahindezh, Iran

2. Department of Computer Engineering, Chosun University, Gwangju, Republic of Korea

3. Department of Computer Engineering and Information Technology, Payame Noor University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2023.2195426

Reference102 articles.

1. A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems

2. A Hybrid Metaheuristic for Multi-Objective Scientific Workflow Scheduling in a Cloud Environment

3. A hybrid genetic algorithm for scientific workflow scheduling in cloud environment

4. Improved Genetic Algorithm for Monitoring of Virtual Machines in Cloud Environment

5. An improved symbiotic organisms search algorithm for higher dimensional optimization problems

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1. Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing;Swarm and Evolutionary Computation;2024-10

2. Eel and grouper optimizer: a nature-inspired optimization algorithm;Cluster Computing;2024-06-17

3. Security challenges for workflow allocation model in cloud computing environment: a comprehensive survey, framework, taxonomy, open issues, and future directions;The Journal of Supercomputing;2024-01-27

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