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 efficiency...

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Bibliographic Details
Published in:	IEEE access Vol. 9; pp. 56066 - 56092
Main Authors:	Houssein, Essam H., Helmy, Bahaa El-Din, Elngar, Ahmed A., Abdelminaam, Diaa Salama, Shaban, Hassan
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Benchmark testing Convergence Entropy Global optimization Heuristic methods Image segmentation Kapur’s entropy Linear programming local escaping operator (LEO) Metaheuristic algorithms multilevel thresholding Optimization Otsu method Search problems Signal to noise ratio Similarity tunicate swarm algorithm (TSA)
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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