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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2004 3
2005 7
2006 5
2007 5
2008 7
2009 11
2010 5
2011 13
2012 17
2013 16
2014 33
2015 23
2016 30
2017 37
2018 67
2019 66
2020 87
2021 180
2022 267
2023 270
2024 90

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1,090 results

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Page 1
Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems.
Joseph SB, Dada EG, Abidemi A, Oyewola DO, Khammas BM. Joseph SB, et al. Heliyon. 2022 May 11;8(5):e09399. doi: 10.1016/j.heliyon.2022.e09399. eCollection 2022 May. Heliyon. 2022. PMID: 35600459 Free PMC article. Review.
Methods appraised are categorized into classical and metaheuristic optimization methods for PID parameters tuning purposes. Details of some metaheuristic algorithms, methods of application, equations and implementation flowcharts/algorithms are …
Methods appraised are categorized into classical and metaheuristic optimization methods for PID parameters tuning purpo …
Multiclass feature selection with metaheuristic optimization algorithms: a review.
Akinola OO, Ezugwu AE, Agushaka JO, Zitar RA, Abualigah L. Akinola OO, et al. Neural Comput Appl. 2022;34(22):19751-19790. doi: 10.1007/s00521-022-07705-4. Epub 2022 Aug 30. Neural Comput Appl. 2022. PMID: 36060097 Free PMC article. Review.
The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. Datasets can be classified using various methods. Nevertheless, metaheuristic algorithms attract substantial attention to solving different pro …
The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. Datasets can be c …
Metaheuristic-Based Feature Selection Methods for Diagnosing Sarcopenia with Machine Learning Algorithms.
Lee J, Yoon Y, Kim J, Kim YH. Lee J, et al. Biomimetics (Basel). 2024 Mar 15;9(3):179. doi: 10.3390/biomimetics9030179. Biomimetics (Basel). 2024. PMID: 38534863 Free PMC article.
This study explores the efficacy of metaheuristic-based feature selection in improving machine learning performance for diagnosing sarcopenia. ...As a result, the HS-derived feature set trained with a support vector machine yielded an accuracy of 0.785 and a weighted F1 sc …
This study explores the efficacy of metaheuristic-based feature selection in improving machine learning performance for diagnosing sa …
Metaheuristic approaches in biopharmaceutical process development data analysis.
Gangadharan N, Turner R, Field R, Oliver SG, Slater N, Dikicioglu D. Gangadharan N, et al. Bioprocess Biosyst Eng. 2019 Sep;42(9):1399-1408. doi: 10.1007/s00449-019-02147-0. Epub 2019 May 22. Bioprocess Biosyst Eng. 2019. PMID: 31119388 Free PMC article. Review.
Data mining can facilitate the extraction of meaningful relationships pertaining to these bioprocesses, and predict the performance of future cultures. This review evaluates the suitability of various metaheuristic methods available for data pre-processing, which wo …
Data mining can facilitate the extraction of meaningful relationships pertaining to these bioprocesses, and predict the performance of futur …
Analysis of the Effectiveness of Metaheuristic Methods on Bayesian Optimization in the Classification of Visual Field Defects.
Abu M, Zahri NAH, Amir A, Ismail MI, Yaakub A, Fukumoto F, Suzuki Y. Abu M, et al. Diagnostics (Basel). 2023 Jun 2;13(11):1946. doi: 10.3390/diagnostics13111946. Diagnostics (Basel). 2023. PMID: 37296798 Free PMC article.
Therefore, this study investigates and analyses the effect of incorporating metaheuristic methods into BO to improve the performance of acquisition functions in transfer learning. By incorporating four different metaheuristic methods, namely Particle S …
Therefore, this study investigates and analyses the effect of incorporating metaheuristic methods into BO to improve the perfo …
Mechanical Identification of Materials and Structures with Optical Methods and Metaheuristic Optimization.
Ficarella E, Lamberti L, Degertekin SO. Ficarella E, et al. Materials (Basel). 2019 Jul 2;12(13):2133. doi: 10.3390/ma12132133. Materials (Basel). 2019. PMID: 31269761 Free PMC article.
The inverse problem is solved by combining experimental measurements performed by optical methods and non-linear optimization using metaheuristic algorithms. ...The results obtained in three inverse problems regarding composite and transversely isotropic hyperelasti …
The inverse problem is solved by combining experimental measurements performed by optical methods and non-linear optimization using …
Evolutionary Image Registration: A Review.
Cocianu CL, Uscatu CR, Stan AD. Cocianu CL, et al. Sensors (Basel). 2023 Jan 14;23(2):967. doi: 10.3390/s23020967. Sensors (Basel). 2023. PMID: 36679771 Free PMC article. Review.
In the last few years, nature-inspired algorithms and metaheuristics have been successfully used to address the image registration problem, becoming a solid alternative for direct optimization methods. The aim of this paper is to investigate and summarize a series o …
In the last few years, nature-inspired algorithms and metaheuristics have been successfully used to address the image registration pr …
Metaheuristic Algorithms for Convolution Neural Network.
Rere LM, Fanany MI, Arymurthy AM. Rere LM, et al. Comput Intell Neurosci. 2016;2016:1537325. doi: 10.1155/2016/1537325. Epub 2016 Jun 8. Comput Intell Neurosci. 2016. PMID: 27375738 Free PMC article.
However, implementation strategy of metaheuristic for accuracy improvement on convolution neural networks (CNN), a famous deep learning method, is still rarely investigated. ...The performances of these metaheuristic methods in optimizing CNN on classi …
However, implementation strategy of metaheuristic for accuracy improvement on convolution neural networks (CNN), a famous deep learni …
Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects.
Song Y, Wang X, Li H, He Y, Zhang Z, Huang J. Song Y, et al. Materials (Basel). 2022 Nov 6;15(21):7830. doi: 10.3390/ma15217830. Materials (Basel). 2022. PMID: 36363421 Free PMC article. Review.
This paper reviews the current literature on optimizing mixing ratios using machine learning and metaheuristic optimization algorithms based on past studies on varying methods. In this review, we first discuss the conventional methods for mixing optimization …
This paper reviews the current literature on optimizing mixing ratios using machine learning and metaheuristic optimization algorithm …
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges.
Kaur S, Kumar Y, Koul A, Kumar Kamboj S. Kaur S, et al. Arch Comput Methods Eng. 2023;30(3):1863-1895. doi: 10.1007/s11831-022-09853-1. Epub 2022 Nov 27. Arch Comput Methods Eng. 2023. PMID: 36465712 Free PMC article. Review.
Due to their efficiency, metaheuristic algorithms are now used in healthcare data to diagnose diseases practically and with better results than traditional methods. ...Besides, the framework has also been shown to provide information on various phases behind the exe …
Due to their efficiency, metaheuristic algorithms are now used in healthcare data to diagnose diseases practically and with better re …
1,090 results