Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review

Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. DE has grown steadily since its beginnings due to its ability to solve various issues in academics and industry...

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Autores principales: Chakraborty, Sanjoy, Saha, Apu Kumar, Ezugwu, Absalom E., Agushaka, Jeffrey O., Zitar, Raed Abu, Abualigah, Laith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Survey Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638376/
https://www.ncbi.nlm.nih.gov/pubmed/36373091
http://dx.doi.org/10.1007/s11831-022-09825-5
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author Chakraborty, Sanjoy
Saha, Apu Kumar
Ezugwu, Absalom E.
Agushaka, Jeffrey O.
Zitar, Raed Abu
Abualigah, Laith
author_facet Chakraborty, Sanjoy
Saha, Apu Kumar
Ezugwu, Absalom E.
Agushaka, Jeffrey O.
Zitar, Raed Abu
Abualigah, Laith
author_sort Chakraborty, Sanjoy
collection PubMed
description Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. DE has grown steadily since its beginnings due to its ability to solve various issues in academics and industry. Different mutation techniques and parameter choices influence DE's exploration and exploitation capabilities, motivating academics to continue working on DE. This survey aims to depict DE's recent developments concerning parameter adaptations, parameter settings and mutation strategies, hybridizations, and multi-objective variants in the last twelve years. It also summarizes the problems solved in image processing by DE and its variants.
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spelling pubmed-96383762022-11-07 Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review Chakraborty, Sanjoy Saha, Apu Kumar Ezugwu, Absalom E. Agushaka, Jeffrey O. Zitar, Raed Abu Abualigah, Laith Arch Comput Methods Eng Survey Article Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. DE has grown steadily since its beginnings due to its ability to solve various issues in academics and industry. Different mutation techniques and parameter choices influence DE's exploration and exploitation capabilities, motivating academics to continue working on DE. This survey aims to depict DE's recent developments concerning parameter adaptations, parameter settings and mutation strategies, hybridizations, and multi-objective variants in the last twelve years. It also summarizes the problems solved in image processing by DE and its variants. Springer Netherlands 2022-11-04 2023 /pmc/articles/PMC9638376/ /pubmed/36373091 http://dx.doi.org/10.1007/s11831-022-09825-5 Text en © The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE) 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Survey Article
Chakraborty, Sanjoy
Saha, Apu Kumar
Ezugwu, Absalom E.
Agushaka, Jeffrey O.
Zitar, Raed Abu
Abualigah, Laith
Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
title Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
title_full Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
title_fullStr Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
title_full_unstemmed Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
title_short Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
title_sort differential evolution and its applications in image processing problems: a comprehensive review
topic Survey Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638376/
https://www.ncbi.nlm.nih.gov/pubmed/36373091
http://dx.doi.org/10.1007/s11831-022-09825-5
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