Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization

Advanced Engineering Informatics, Год журнала: 2023, Номер 58, С. 102210 - 102210

Опубликована: Окт. 1, 2023

Язык: Английский

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DETDO: An adaptive hybrid dandelion optimizer for engineering optimization

Advanced Engineering Informatics, Год журнала: 2023, Номер 57, С. 102004 - 102004

Опубликована: Июнь 8, 2023

Язык: Английский

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Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications

Expert Systems with Applications, Год журнала: 2023, Номер 238, С. 122200 - 122200

Опубликована: Окт. 23, 2023

Язык: Английский

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An enhanced hybrid arithmetic optimization algorithm for engineering applications

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2022, Номер 394, С. 114901 - 114901

Опубликована: Апрель 12, 2022

Язык: Английский

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A Sinh Cosh optimizer

Knowledge-Based Systems, Год журнала: 2023, Номер 282, С. 111081 - 111081

Опубликована: Окт. 18, 2023

Язык: Английский

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SaCHBA_PDN: Modified honey badger algorithm with multi-strategy for UAV path planning

Expert Systems with Applications, Год журнала: 2023, Номер 223, С. 119941 - 119941

Опубликована: Март 23, 2023

Язык: Английский

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Advances in Manta Ray Foraging Optimization: A Comprehensive Survey

Journal of Bionic Engineering, Год журнала: 2024, Номер 21(2), С. 953 - 990

Опубликована: Фев. 27, 2024

Язык: Английский

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A whale optimization algorithm with combined mutation and removing similarity for global optimization and multilevel thresholding image segmentation

Applied Soft Computing, Год журнала: 2023, Номер 137, С. 110130 - 110130

Опубликована: Фев. 24, 2023

Язык: Английский

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A Literature Review and Critical Analysis of Metaheuristics Recently Developed

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 31(1), С. 125 - 146

Опубликована: Июль 22, 2023

Abstract Metaheuristic algorithms have applicability in various fields where it is necessary to solve optimization problems. It has been a common practice this field for several years propose new that take inspiration from natural and physical processes. The exponential increase of controversial issue researchers criticized. However, their efforts point out multiple issues involved these practices insufficient since the number existing metaheuristics continues yearly. To know current state problem, paper analyzes sample 111 recent studies so-called new, hybrid, or improved are proposed. Throughout document, topics reviewed will be addressed general perspective specific aspects. Among study’s findings, observed only 43% analyzed papers make some mention No Free Lunch (NFL) theorem, being significant result ignored by most presented. Of studies, 65% present an version established algorithm, which reveals trend no longer based on analogies. Additionally, compilation solutions found engineering problems commonly used verify performance state-of-the-art demonstrate with low level innovation can erroneously considered as frameworks years, known Black Widow Optimization Coral Reef analyzed. study its components they do not any innovation. Instead, just deficient mixtures different evolutionary operators. This applies extension recently proposed versions.

Язык: Английский

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Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems

Computers in Biology and Medicine, Год журнала: 2024, Номер 179, С. 108803 - 108803

Опубликована: Июль 1, 2024

Язык: Английский

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