Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion

Knowledge-Based Systems, Год журнала: 2023, Номер 268, С. 110454 - 110454

Опубликована: Март 11, 2023

Язык: Английский

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Engineering optimization

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 301 - 314

Опубликована: Янв. 1, 2024

Язык: Английский

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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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Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 29, 2024

Abstract The novelty of this article lies in introducing a novel stochastic technique named the Hippopotamus Optimization (HO) algorithm. HO is conceived by drawing inspiration from inherent behaviors observed hippopotamuses, showcasing an innovative approach metaheuristic methodology. conceptually defined using trinary-phase model that incorporates their position updating rivers or ponds, defensive strategies against predators, and evasion methods, which are mathematically formulated. It attained top rank 115 out 161 benchmark functions finding optimal value, encompassing unimodal high-dimensional multimodal functions, fixed-dimensional as well CEC 2019 test suite 2014 dimensions 10, 30, 50, 100 Zigzag Pattern suggests demonstrates noteworthy proficiency both exploitation exploration. Moreover, it effectively balances exploration exploitation, supporting search process. In light results addressing four distinct engineering design challenges, has achieved most efficient resolution while concurrently upholding adherence to designated constraints. performance evaluation algorithm encompasses various aspects, including comparison with WOA, GWO, SSA, PSO, SCA, FA, GOA, TLBO, MFO, IWO recognized extensively researched metaheuristics, AOA recently developed algorithms, CMA-ES high-performance optimizers acknowledged for success IEEE competition. According statistical post hoc analysis, determined be significantly superior investigated algorithms. source codes publicly available at https://www.mathworks.com/matlabcentral/fileexchange/160088-hippopotamus-optimization-algorithm-ho .

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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Walrus optimizer: A novel nature-inspired metaheuristic algorithm

Expert Systems with Applications, Год журнала: 2023, Номер 239, С. 122413 - 122413

Опубликована: Ноя. 3, 2023

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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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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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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Quadratic Interpolation Optimization (QIO): A new optimization algorithm based on generalized quadratic interpolation and its applications to real-world engineering problems

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2023, Номер 417, С. 116446 - 116446

Опубликована: Сен. 28, 2023

Язык: Английский

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