RIME: A physics-based optimization

Neurocomputing, Год журнала: 2023, Номер 532, С. 183 - 214

Опубликована: Фев. 13, 2023

Язык: Английский

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Parrot optimizer: Algorithm and applications to medical problems

Computers in Biology and Medicine, Год журнала: 2024, Номер 172, С. 108064 - 108064

Опубликована: Фев. 24, 2024

Язык: Английский

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Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

Computers in Biology and Medicine, Год журнала: 2022, Номер 146, С. 105618 - 105618

Опубликована: Май 18, 2022

Язык: Английский

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Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection

Neurocomputing, Год журнала: 2022, Номер 503, С. 325 - 362

Опубликована: Июнь 28, 2022

Язык: Английский

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Human Evolutionary Optimization Algorithm

Expert Systems with Applications, Год журнала: 2023, Номер 241, С. 122638 - 122638

Опубликована: Ноя. 16, 2023

Язык: Английский

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Hierarchical Harris hawks optimizer for feature selection

Journal of Advanced Research, Год журнала: 2023, Номер 53, С. 261 - 278

Опубликована: Янв. 20, 2023

Feature selection is a typical NP-hard problem. The main methods include filter, wrapper-based, and embedded methods. Because of its characteristics, the wrapper method must swarm intelligence algorithm, performance in feature closely related to algorithm's quality. Therefore, it essential choose design suitable algorithm improve based on wrapper. Harris hawks optimization (HHO) superb approach that has just been introduced. It high convergence rate powerful global search capability but an unsatisfactory effect dimensional problems or complex problems. we introduced hierarchy HHO's ability deal with selection. To make obtain good accuracy fewer features run faster selection, improved HHO named EHHO. On 30 UCI datasets, (EHHO) can achieve very classification less running time features. We first conducted extensive experiments 23 classical benchmark functions compared EHHO many state-of-the-art metaheuristic algorithms. Then transform into binary (bEHHO) through conversion function verify extraction data sets. Experiments show better speed minimum than other peers. At same time, HHO, significantly weakness dealing functions. Moreover, datasets repository, bEHHO comparative Compared original bHHO, excellent also bHHO time.

Язык: Английский

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Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection

Applied Soft Computing, Год журнала: 2023, Номер 144, С. 110513 - 110513

Опубликована: Июнь 15, 2023

Язык: Английский

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An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems

Expert Systems with Applications, Год журнала: 2022, Номер 213, С. 119041 - 119041

Опубликована: Окт. 17, 2022

Язык: Английский

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Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation

Measurement, Год журнала: 2022, Номер 192, С. 110884 - 110884

Опубликована: Фев. 14, 2022

Язык: Английский

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Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution

Biomedical Signal Processing and Control, Год журнала: 2022, Номер 80, С. 104373 - 104373

Опубликована: Ноя. 14, 2022

Язык: Английский

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