Application of Pathfinder, Honey Badger, Red Fox and Horse Herd algorithms to phase equilibria and stability problems

Bamikole, John O; Narasigadu, Caleb

doi:10.1016/j.fluid.2022.113682

Cited by 4 publications

(3 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These algorithms can adapt to dynamic weather conditions and maximize energy production from solar panels. Recently metaheuristic optimization methods have been addressed in many works to solve complex problems [11][12][13][14][15][16][17][18][19][20]. The novel one is called the Horse herd optimization (HHO) algorithm inspired by horses' behavior.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Optimization Algorithm for Embedded Raspberry Pi Pico Controllers for Solar Tree Systems

Punitha,

Rahman,

Radhamani

et al. 2024

Sustainability

View full text Add to dashboard Cite

Solar photovoltaic (PV) systems stand out as a promising solution for generating clean, carbon-free energy. However, traditional solar panel installations often require extensive land resources, which could become scarce as the population grows. To address this challenge, innovative approaches are needed to maximize solar power generation within limited spaces. One promising concept involves the development of biological tree-like structures housing solar panels. These “solar trees” mimic the arrangement of branches and leaves found in natural trees, following patterns akin to phyllotaxy, which correlates with the Fibonacci sequence and golden ratio. By adopting an alternative 1:3 phyllotaxy pattern, three solar panels can be efficiently arranged along the stem of the solar tree structure, each rotated at a 120-degree displacement. Optimizing the performance of solar trees requires effective maximum power point tracking (MPPT), a crucial process for extracting the maximum available power from solar panels to enhance the overall efficiency. In this study, a novel metaheuristic algorithm called horse herd optimization (HHO) is employed for MPPT in solar tree applications. Moreover, to efficiently manage the generated power, a cascaded buck–boost converter is utilized. This converter is capable of adjusting the DC voltage levels to match the system requirements within a single topology. The algorithm is implemented using MATLAB and embedded within a Raspberry Pi Pico controller, which facilitates the generation of pulse-width modulation (PWM) signals to control the cascaded buck–boost converter. Through extensive validation, this study confirms the effectiveness of the proposed HHO algorithm integrated into the Raspberry Pi Pico controller for optimizing solar trees under various shading conditions. In essence, this research highlights the potential of solar tree structures coupled with advanced MPPT algorithms and power management systems to maximize solar energy utilization, offering a sustainable solution for clean energy generation within limited land resources.

show abstract

Section: Introductionmentioning

confidence: 99%

“…The sizing problem of the hybrid system is solved by proposing the HHO algorithm [17]. Thermodynamic equilibrium problems are solved by applying Honey Badger and HHO algorithms [18]. To enhance the weight function of the neural network in genetic disorder prediction [19], wild HHO with modification is employed.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Algorithm for Embedded Raspberry Pi Pico Controllers for Solar Tree Systems

Punitha,

Rahman,

Radhamani

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…The optimization algorithm considered in the present work consists of a very recent technique which has been used so far, mainly in the context of medical science applications, for example for lung x-ray image segmentation [29], electroencephalogram signals classification [30], in computer science for example, to optimize hyperparameters of deep-learning models [31], and very scarcely in engineering for example for the optimization of phase equilibrium and stability of chemical systems [32] or to estimate optimal model parameters of solid oxide fuel cells [33].…”

Section: Introductionmentioning

confidence: 99%

Metaheuristic Optimization of Functionally Graded 2D and 3D Discrete Structures Using the Red Fox Algorithm

Gaspar,

Loja,

Barbosa

2024

J. Compos. Sci.

View full text Add to dashboard Cite

The growing applicability of functionally graded materials is justified by their ability to contribute to the development of advanced solutions characterized by the material customization, through the selection of the best parameters that will confer the best mechanical behaviour for a given structure under specific operating conditions. The present work aims to attain the optimal design solutions for a set of illustrative 2D and 3D discrete structures built from functionally graded materials using the Red Fox Optimization Algorithm, where the design variables are material parameters. From the results achieved one concludes that the optimal selection and distribution of the different materials’ mixture and the different exponents associated with the volume fraction law significantly influence the optimal responses found. To note additionally the good performance of the coupling between this optimization technique and the finite element method used for the linear static and free vibration analyses.

show abstract

Phase stability analysis and phase equilibrium calculations in reactive and nonreactive systems using new hybrids of Pelican and Gorilla troops algorithms

Bamikole¹,

Narasigadu²

2023

Chemical Engineering Research and Design

View full text Add to dashboard Cite

Application of Pathfinder, Honey Badger, Red Fox and Horse Herd algorithms to phase equilibria and stability problems

Cited by 4 publications

References 55 publications

An Optimization Algorithm for Embedded Raspberry Pi Pico Controllers for Solar Tree Systems

An Optimization Algorithm for Embedded Raspberry Pi Pico Controllers for Solar Tree Systems

Metaheuristic Optimization of Functionally Graded 2D and 3D Discrete Structures Using the Red Fox Algorithm

Phase stability analysis and phase equilibrium calculations in reactive and nonreactive systems using new hybrids of Pelican and Gorilla troops algorithms

Contact Info

Product

Resources

About