An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications

An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications

Abstract The multi-objective grasshopper optimization algorithm (MOGOA) is a relatively new algorithm inspired by the collective behavior of grasshoppers, which aims to solve multi-objective optimization problems in IoT applications. In order to enhance its performance and improve global convergence...

Full description

Bibliographic Details
Main Authors: Faria Sajjad, Muhammad Rashid, Afia Zafar, Kainat Zafar, Benish Fida, Ali Arshad, Saman Riaz, Ashit Kumar Dutta, Joel J. P. C. Rodrigues
Format: Article
Language:English
Published: Springer 2023-07-01
Series:Discover Internet of Things
Subjects:
Swarm-based algorithm
Grasshopper optimization algorithm
Multi objective optimization
Symmetric perturbation
Simulated annealing
Chaos theory
Online Access:https://doi.org/10.1007/s43926-023-00036-3

Internet

https://doi.org/10.1007/s43926-023-00036-3

Similar Items