Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding: Fid-Bau Portal

Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

Rai, Rebika / Das, Arunita / Ray, Swarnajit / Dhal, Krishna Gopal

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Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

Rai, Rebika / Das, Arunita / Ray, Swarnajit / Dhal, Krishna Gopal

Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

Rai, Rebika / Das, Arunita / Ray, Swarnajit / Dhal, Krishna Gopal

Zugriff

Zugriff prüfen

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Bestellung bei Subito €

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Titel:

Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

Weitere Titelangaben:

Arch Computat Methods Eng

Beteiligte:

Rai, Rebika (Autor:in) / Das, Arunita (Autor:in) / Ray, Swarnajit (Autor:in) / Dhal, Krishna Gopal (Autor:in)

Erschienen in:

Archives of Computational Methods in Engineering ; 29 ; 5313-5352

Erscheinungsdatum:

01.11.2022

ISSN:

1886-1784

DOI:

https://doi.org/10.1007/s11831-022-09766-z

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

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