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Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges

Since the past decades, most of the nature inspired optimization algorithms (NIOA) have been developed and become admired due to their effectiveness for resolving a variety of complex problems of dissimilar domain. Firefly algorithm (FA) is well-known, yet efficient nature inspired swarm intelligenc...

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Autores principales: Nayak, Janmenjoy, Naik, Bighnaraj, Dinesh, Paidi, Vakula, Kanithi, Dash, Pandit Byomakesha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519705/
https://www.ncbi.nlm.nih.gov/pubmed/33063057
http://dx.doi.org/10.1007/s42979-020-00320-x
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author Nayak, Janmenjoy
Naik, Bighnaraj
Dinesh, Paidi
Vakula, Kanithi
Dash, Pandit Byomakesha
author_facet Nayak, Janmenjoy
Naik, Bighnaraj
Dinesh, Paidi
Vakula, Kanithi
Dash, Pandit Byomakesha
author_sort Nayak, Janmenjoy
collection PubMed
description Since the past decades, most of the nature inspired optimization algorithms (NIOA) have been developed and become admired due to their effectiveness for resolving a variety of complex problems of dissimilar domain. Firefly algorithm (FA) is well-known, yet efficient nature inspired swarm intelligence (SI) based metaheuristic algorithm. Since from its initiation, FA has become well-liked between the researchers due to its competence and turn out to be an interesting technique for the practitioners as well as researchers for solving the problems of numerous fields of research such as classifications, clustering, neural networks, biomedical engineering, healthcare as well as other research domain. Moreover, there is an outstanding track record of FA in solving biomedical engineering (BME) and healthcare (HC) problems. Abundant complexities have been worked out with the assist of FA and its variants. By taking these particulars into concern, in this paper, a first ever in-depth analysis has been addressed on the variants, importance, applications as well as enhancements of FA in BME as well as HC. The major intention behind this investigative work is to motivate the researchers to improve and innovate new solutions for multifaceted problems of healthcare and biomedical engineering using FA.
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spelling pubmed-75197052020-09-28 Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges Nayak, Janmenjoy Naik, Bighnaraj Dinesh, Paidi Vakula, Kanithi Dash, Pandit Byomakesha SN COMPUT. SCI. Review Article Since the past decades, most of the nature inspired optimization algorithms (NIOA) have been developed and become admired due to their effectiveness for resolving a variety of complex problems of dissimilar domain. Firefly algorithm (FA) is well-known, yet efficient nature inspired swarm intelligence (SI) based metaheuristic algorithm. Since from its initiation, FA has become well-liked between the researchers due to its competence and turn out to be an interesting technique for the practitioners as well as researchers for solving the problems of numerous fields of research such as classifications, clustering, neural networks, biomedical engineering, healthcare as well as other research domain. Moreover, there is an outstanding track record of FA in solving biomedical engineering (BME) and healthcare (HC) problems. Abundant complexities have been worked out with the assist of FA and its variants. By taking these particulars into concern, in this paper, a first ever in-depth analysis has been addressed on the variants, importance, applications as well as enhancements of FA in BME as well as HC. The major intention behind this investigative work is to motivate the researchers to improve and innovate new solutions for multifaceted problems of healthcare and biomedical engineering using FA. Springer Singapore 2020-09-26 2020 /pmc/articles/PMC7519705/ /pubmed/33063057 http://dx.doi.org/10.1007/s42979-020-00320-x Text en © Springer Nature Singapore Pte Ltd 2020 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 Review Article
Nayak, Janmenjoy
Naik, Bighnaraj
Dinesh, Paidi
Vakula, Kanithi
Dash, Pandit Byomakesha
Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
title Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
title_full Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
title_fullStr Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
title_full_unstemmed Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
title_short Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
title_sort firefly algorithm in biomedical and health care: advances, issues and challenges
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519705/
https://www.ncbi.nlm.nih.gov/pubmed/33063057
http://dx.doi.org/10.1007/s42979-020-00320-x
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