Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design

Expert Systems with Applications, Год журнала: 2023, Номер 225, С. 120069 - 120069

Опубликована: Апрель 12, 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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Crested Porcupine Optimizer: A new nature-inspired metaheuristic

Knowledge-Based Systems, Год журнала: 2023, Номер 284, С. 111257 - 111257

Опубликована: Дек. 22, 2023

Язык: Английский

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Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems

Artificial Intelligence Review, Год журнала: 2024, Номер 57(4)

Опубликована: Март 23, 2024

Abstract This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by migratory and predatory behavior of black kite. The BKA integrates Cauchy mutation strategy Leader to enhance global search capability convergence speed algorithm. novel combination achieves good balance between exploring solutions utilizing local information. Against standard test function sets CEC-2022 CEC-2017, as well other complex functions, attained best performance in 66.7, 72.4 77.8% cases, respectively. effectiveness is validated through detailed analysis statistical comparisons. Moreover, its application solving five practical engineering design problems demonstrates potential addressing constrained challenges real world indicates that it has significant competitive strength comparison with existing techniques. In summary, proven value advantages variety due excellent performance. source code publicly available at https://www.mathworks.com/matlabcentral/fileexchange/161401-black-winged-kite-algorithm-bka .

Язык: Английский

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Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems

Artificial Intelligence Review, Год журнала: 2024, Номер 57(5)

Опубликована: Апрель 23, 2024

Abstract This study introduces a novel population-based metaheuristic algorithm called secretary bird optimization (SBOA), inspired by the survival behavior of birds in their natural environment. Survival for involves continuous hunting prey and evading pursuit from predators. information is crucial proposing new that utilizes abilities to address real-world problems. The algorithm's exploration phase simulates snakes, while exploitation models escape During this phase, observe environment choose most suitable way reach secure refuge. These two phases are iteratively repeated, subject termination criteria, find optimal solution problem. To validate performance SBOA, experiments were conducted assess convergence speed, behavior, other relevant aspects. Furthermore, we compared SBOA with 15 advanced algorithms using CEC-2017 CEC-2022 benchmark suites. All test results consistently demonstrated outstanding terms quality, stability. Lastly, was employed tackle 12 constrained engineering design problems perform three-dimensional path planning Unmanned Aerial Vehicles. demonstrate that, contrasted optimizers, proposed can better solutions at faster pace, showcasing its significant potential addressing

Язык: Английский

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Mantis Search Algorithm: A novel bio-inspired algorithm for global optimization and engineering design problems

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2023, Номер 415, С. 116200 - 116200

Опубликована: Июль 10, 2023

Язык: Английский

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Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment Problem Considering Resilience

Biomimetics, Год журнала: 2023, Номер 8(5), С. 386 - 386

Опубликована: Авг. 24, 2023

In this research article, we uphold the principles of No Free Lunch theorem and employ it as a driving force to introduce an innovative game-based metaheuristic technique named Golf Optimization Algorithm (GOA). The GOA is meticulously structured with two distinctive phases, namely, exploration exploitation, drawing inspiration from strategic dynamics player conduct observed in sport golf. Through comprehensive assessments encompassing fifty-two objective functions four real-world engineering applications, efficacy rigorously examined. results optimization process reveal GOA’s exceptional proficiency both exploitation strategies, effectively striking harmonious equilibrium between two. Comparative analyses against ten competing algorithms demonstrate clear statistically significant superiority across spectrum performance metrics. Furthermore, successful application intricate energy commitment problem, considering network resilience, underscores its prowess addressing complex challenges. For convenience community, provide MATLAB implementation codes for proposed methodology, ensuring accessibility facilitating further exploration.

Язык: Английский

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Polar Lights Optimizer: Algorithm and Applications in Image Segmentation and Feature Selection

Neurocomputing, Год журнала: 2024, Номер 607, С. 128427 - 128427

Опубликована: Авг. 22, 2024

Язык: Английский

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Synergizing the enhanced RIME with fuzzy K-nearest neighbor for diagnose of pulmonary hypertension

Computers in Biology and Medicine, Год журнала: 2023, Номер 165, С. 107408 - 107408

Опубликована: Авг. 29, 2023

Язык: Английский

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Artemisinin optimization based on malaria therapy: Algorithm and applications to medical image segmentation

Displays, Год журнала: 2024, Номер 84, С. 102740 - 102740

Опубликована: Май 4, 2024

Язык: Английский

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