Crystal Structure Algorithm (CryStAl): A Metaheuristic Optimization Method

The harmonic elimination of multilevel inverters is a complicated task that includes nonlinear transcendental equations. With the increase in the level of the multilevel inverter, the no of variables of the equation also increases which makes the problem more complicated. Metaheuristic optimization algorithms play an important role in finding out optimum switching angles required for elimination of harmonics in a lesser computational time avoiding multiple local minima. This paper deals with the harmonic elimination of cascaded multilevel inverter using whale optimization algorithm. The whale optimization method has the ability to escape local minima and it takes less time of computation of results. Results are verified theoretically by taking an example of a 15-level cascaded H-bridge inverter fed from equal d.c.sources. The above scheme well minimizes lower order harmonics and gives better output voltage and a low total harmonic distortion.

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A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm

Soft Computing ◽

10.1007/s00500-019-04416-2 ◽

2019 ◽

Vol 24 (12) ◽

pp. 8823-8856 ◽

Cited By ~ 1

Author(s):

Oscar Maciel ◽

Arturo Valdivia ◽

Diego Oliva ◽

Erik Cuevas ◽

Daniel Zaldívar ◽

...

Keyword(s):

Optimization Method ◽

Hybrid Metaheuristic ◽

Metaheuristic Optimization

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Water cycle algorithm – A novel metaheuristic optimization method for solving constrained engineering optimization problems

Computers & Structures ◽

10.1016/j.compstruc.2012.07.010 ◽

2012 ◽

Vol 110-111 ◽

pp. 151-166 ◽

Cited By ~ 472

Author(s):

Hadi Eskandar ◽

Ali Sadollah ◽

Ardeshir Bahreininejad ◽

Mohd Hamdi

Keyword(s):

Optimization Problems ◽

Water Cycle ◽

Optimization Method ◽

Engineering Optimization ◽

Water Cycle Algorithm ◽

Metaheuristic Optimization ◽

Engineering Optimization Problems

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Black-Hole Optimization Applied to the Parametric Estimation in Distribution Transformers Considering Voltage and Current Measures

Computers ◽

10.3390/computers10100124 ◽

2021 ◽

Vol 10 (10) ◽

pp. 124

Author(s):

Camilo Andres Arenas-Acuña ◽

Jonathan Andres Rodriguez-Contreras ◽

Oscar Danilo Montoya ◽

Edwin Rivas-Trujillo

Keyword(s):

Black Hole ◽

Programming Model ◽

Estimation Error ◽

Optimization Technique ◽

Optimization Method ◽

Point Of View ◽

Parametric Estimation ◽

Metaheuristic Optimization ◽

Distribution Transformers ◽

Matlab Programming

The problem of parametric estimation in single-phase transformers is addressed in this research from the point of view of metaheuristic optimization. The parameters of interest are the series resistance and reactance as well as the magnetization resistance and reactance. To obtain these parameters considering only the voltage and the currents measured in the terminals of the transformer, a nonlinear optimization model that deals with the minimization of the mean square error among the measured and calculated voltage and current variables is formulated. The nonlinear programming model is solved through the implementation of a simple but efficient metaheuristic optimization technique known as the black-hole optimizer. Numerical simulations demonstrate that the proposed optimization method allows for the reduction in the estimation error among the measured and calculated variables when compared with methods that are well established in the literature such as particle swarm optimization and genetic algorithms, among others. All the simulations were carried out in the MATLAB programming environment.

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Optimal locally resonant bandgaps in a windmill-like phononic crystal structure

Modern Physics Letters B ◽

10.1142/s021798492150264x ◽

2021 ◽

pp. 2150264

Author(s):

Xingfu Ma ◽

Hang Xiang ◽

Xiane Yang ◽

Jiawei Xiang

Keyword(s):

Crystal Structure ◽

Experimental Data ◽

Finite Element ◽

Response Surface Methodology ◽

Phononic Crystal ◽

Optimization Method ◽

Key Factors ◽

Optimal Range ◽

Simulation Data

In this paper, a windmill-like phononic crystal (PC) structure with optimal locally resonant bandgaps (LRBGs) is proposed. By analyzing the variation trend of BGs, three geometric parameters (the side length and height of cuboid scatterer, and the width of elastic beams) are found to be key factors for the determination of BGs. Using response surface methodology (RSM), 3-factor and 7-level experiment are designed to obtain experimental data with the help of finite element simulations. Three relationships (fitting equations) between the three factors and the second BGs terminating frequency, the first BGs bandwidth, and the second BGs bandwidth, are further obtained by fitting the simulation data. Based on the three fitting equations, the optimal LRBGs are finally obtained using a simple optimization method. The proposed windmill-like structure PC is demonstrated to possess an optimal range of BG.

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