Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection

Neurocomputing, Год журнала: 2023, Номер 551, С. 126467 - 126467

Опубликована: Июнь 21, 2023

Язык: Английский

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Dynamic mechanism-assisted artificial bee colony optimization for image segmentation of COVID-19 chest X-ray

Displays, Год журнала: 2023, Номер 79, С. 102485 - 102485

Опубликована: Июль 4, 2023

Язык: Английский

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OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection

Applied Soft Computing, Год журнала: 2023, Номер 146, С. 110664 - 110664

Опубликована: Июль 29, 2023

Язык: Английский

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A hybrid chimp optimization algorithm and generalized normal distribution algorithm with opposition-based learning strategy for solving data clustering problems

Iran Journal of Computer Science, Год журнала: 2023, Номер 7(1), С. 65 - 101

Опубликована: Окт. 26, 2023

Язык: Английский

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An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction

Computers in Biology and Medicine, Год журнала: 2023, Номер 163, С. 107166 - 107166

Опубликована: Июнь 10, 2023

Язык: Английский

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A novel sparrow search algorithm with integrates spawning strategy

Cluster Computing, Год журнала: 2023, Номер 27(2), С. 1753 - 1773

Опубликована: Июнь 5, 2023

Язык: Английский

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EAEFA-R: Multiple learning-based ensemble artificial electric field algorithm for global optimization

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113453 - 113453

Опубликована: Апрель 1, 2025

Язык: Английский

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Heliostat Field Layout via Niching and Elite Competition Swarm Optimization

IEEE Access, Год журнала: 2024, Номер 12, С. 31589 - 31604

Опубликована: Янв. 1, 2024

Confronted with the challenges posed by climate change and ongoing energy transition, solar is one of important new sources, tower power plant has become an innovative solution to promote clean development. The optimization heliostat field layout constitutes a crucial aspect in enhancing operational efficiency concentrated plant. Currently, garnered widespread attention. In this paper, we propose swarm algorithm niching elite competition called NECSO solve large-scale optimization. First, aiming increase diversity heterogeneity within population, employ random grouping strategy partition population into distinct sub-swarms. Then, design mechanism harmonize performance exploration. carried out any sub-swarm enhance explorability particles. occurs between elites which select from each improve convergence Additionally, develop mathematical model for layout. This employs currently advanced computational methods, facilitating prompt precise calculation optical To evaluate NECSO, 15 practical cases varying scales. And then, conduct comparative experiments eight mainstream excellent algorithms. results indicate that exhibits competitive solving optimization, particularly cases.

Язык: Английский

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Ankylosing spondylitis prediction using fuzzy K-nearest neighbor classifier assisted by modified JAYA optimizer

Computers in Biology and Medicine, Год журнала: 2024, Номер 175, С. 108440 - 108440

Опубликована: Апрель 12, 2024

Язык: Английский

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A periodic intervention and strategic collaboration mechanisms based differential evolution algorithm for global optimization

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 113137 - 113137

Опубликована: Апрель 1, 2025

Язык: Английский

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