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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Vydané v:	IEEE access Ročník 9; s. 56066 - 56092
Hlavní autori:	Houssein, Essam H., Helmy, Bahaa El-Din, Elngar, Ahmed A., Abdelminaam, Diaa Salama, Shaban, Hassan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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