A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm

2019 ◽  
Vol 24 (12) ◽  
pp. 8823-8856 ◽  
Author(s):  
Oscar Maciel ◽  
Arturo Valdivia ◽  
Diego Oliva ◽  
Erik Cuevas ◽  
Daniel Zaldívar ◽  
...  
Keyword(s):  
Optimization Method ◽  
Hybrid Metaheuristic ◽  
Metaheuristic Optimization

scholarly journals Estimation of Multilevel Simultaneous Equation Models through Genetic Algorithms

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2098
Author(s):  
Rocío Hernández-Sanjaime ◽  
Martín González ◽  
Jose J. López-Espín
Keyword(s):  
Maximum Likelihood ◽  
Covariance Structure ◽  
Likelihood Estimation ◽  
Optimization Method ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Tuning Parameters ◽  
Hybrid Metaheuristic ◽  
Error Terms ◽  
Simultaneous Equation Models

Problems in estimating simultaneous equation models when error terms are not intertemporally uncorrelated has motivated the introduction of a new multivariate model referred to as Multilevel Simultaneous Equation Model (MSEM). The maximum likelihood estimation of the parameters of an MSEM has been set forth. Because of the difficulties associated with the solution of the system of likelihood equations, the maximum likelihood estimator cannot be obtained through exhaustive search procedures. A hybrid metaheuristic that combines a genetic algorithm and an optimization method has been developed to overcome both technical and analytical limitations in the general case when the covariance structure is unknown. The behaviour of the hybrid metaheuristic has been discussed by varying different tuning parameters. A simulation study has been included to evaluate the adequacy of this estimator when error terms are not serially independent. Finally, the performance of this estimation approach has been compared with regard to other alternatives.

scholarly journals Harmonic Elimination of Cascaded Multilevel Inverter using Metaheuristic Optimization Methods

2018 ◽  
Vol 7 (4.15) ◽  
pp. 272 ◽  
Author(s):  
Srikanta Kumar Dash ◽  
Byamakesh Nayak ◽  
Jiban Ballav Sahu ◽  
Rojalin Rout
Keyword(s):  
Harmonic Distortion ◽  
Optimization Methods ◽  
Optimization Method ◽  
Multilevel Inverter ◽  
Computational Time ◽  
Local Minima ◽  
Metaheuristic Optimization ◽  
Harmonic Elimination ◽  
Whale Optimization ◽  
Cascaded Multilevel Inverter

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.  

Sign in / Sign up

Export Citation Format

Share Document