Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling

Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling

This paper presents a novel dynamic Jellyfish Search Algorithm using a Simulated Annealing and disruption operator, called DJSD. The developed DJSD method incorporates the Simulated Annealing operators into the conventional Jellyfish Search Algorithm in the exploration stage, in a competitive manner...

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Bibliographic Details
Main Authors: Ibrahim Attiya, Laith Abualigah, Samah Alshathri, Doaa Elsadek, Mohamed Abd Elaziz
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
artificial Jellyfish Search Algorithm (JSA)
simulated annealing (SA)
task scheduling
cloud computing
optimization
metaheuristics
Online Access:https://www.mdpi.com/2227-7390/10/11/1894

Internet

https://www.mdpi.com/2227-7390/10/11/1894

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