Elastic Network Regression Based on Differential Evolution Dragonfly Algorithm with T-Distribution Parameters

Abstract This paper examines the application of the so called generalized Student’s t-distribution in modeling the distribution of empirical return rates on selected Warsaw stock exchange indexes. It deals with distribution parameters by means of the method of logarithmic moments, the maximum likelihood method and the method of moments. Generalized Student’s t-distribution ensures better fitting to empirical data than the classical Student’s t-distribution.

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Principal Component Analysis Based on Quantum Genetic Algorithm with T-Distribution Parameters

2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) ◽

10.1109/iaeac50856.2021.9390901 ◽

2021 ◽

Author(s):

Yujie Shen ◽

Wei Nai ◽

Yue Li ◽

Jiadi Shen ◽

Zan Yang ◽

...

Keyword(s):

Genetic Algorithm ◽

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Quantum Genetic Algorithm ◽

Distribution Parameters ◽

T Distribution

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A hybrid memory-based dragonfly algorithm with differential evolution for engineering application

Engineering With Computers ◽

10.1007/s00366-020-00958-4 ◽

2020 ◽

Cited By ~ 2

Author(s):

Sanjoy Debnath ◽

Srimanta Baishya ◽

Debarati Sen ◽

Wasim Arif

Keyword(s):

Differential Evolution ◽

Engineering Application ◽

Dragonfly Algorithm ◽

Hybrid Memory

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Frequency regulation of modern power system using novel hybrid DE-DA algorithm

International Journal of Advances in Applied Sciences ◽

10.11591/ijaas.v8.i2.pp103-116 ◽

2019 ◽

Vol 8 (2) ◽

pp. 103

Author(s):

Sayantan Sinha ◽

Ranjan Kumar Mallick

Keyword(s):

Power System ◽

Differential Evolution ◽

Automatic Generation ◽

Frequency Regulation ◽

Hybrid Technique ◽

Thermal Generation ◽

Dragonfly Algorithm ◽

Interconnected Power System ◽

Load Disturbance ◽

Tie Line

<p>An attempt has been made to regulate the frequency of an interconnected modern power system using automatic generation control under a restructured market scenario. The system model considered consists of a thermal generation plant coupled with a gas turbine plant in both areas. The presence of deregulated market scenario in an interconnected power system makes it too vulnerable to small load disturbance giving rise to frequency and tie line power imbalances. An attempt has been made to introduce a novel Tilted Integral derivative controller to minimize the frequency and tie line power deviations and restrict them to scheduled values. A maiden attempt has been made to tune the controller gains with the help of a novel hybrid optimization scheme which includes the amalgamation of the exploitative nature of the Differential evolution technique and the explorative attributes of the Dragonfly Algorithm. This hybrid technique is therefore coined as Differential evolution- dragonfly algorithm (DE-DA) technique. Use of some standard benchmark fucntions are made to prove the efficacy of the proposed scheme in tunig the controller gains. The supremacy of the proposed TID controller is examined under two individual market scenarios and under the effect of a step load disturbance. The robustness of the controller in minimizing frequency deviations in the systems is broadly showcased. The superiority of the controller is also proved by comparing it with pre published results.</p>

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