An Improved Tunicate Swarm Algorithm for Global Optimization and Image Segmentation

An Improved Tunicate Swarm Algorithm for Global Optimization and Image Segmentation

This study integrates a tunicate swarm algorithm (TSA) with a local escaping operator (LEO) for overcoming the weaknesses of the original TSA. The LEO strategy in TSA–LEO prevents searching deflation in TSA and improves the convergence rate and local search efficiency of swarm agents. The...

Full description

Bibliographic Details
Main Authors: Essam H. Houssein, Bahaa El-Din Helmy, Ahmed A. Elngar, Diaa Salama Abdelminaam, Hassan Shaban
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Metaheuristic algorithms
tunicate swarm algorithm (TSA)
local escaping operator (LEO)
multilevel thresholding
image segmentation
Kapur’s entropy
Online Access:https://ieeexplore.ieee.org/document/9399412/

Internet

https://ieeexplore.ieee.org/document/9399412/

Similar Items