Real-Parameter Unconstrained Optimization Based on Enhanced AGDE Algorithm DOI
Ali Khater Mohamed, Ali Wagdy Mohamed

Studies in computational intelligence, Journal Year: 2018, Volume and Issue: unknown, P. 431 - 450

Published: Dec. 7, 2018

Language: Английский

A hybrid approach of differential evolution and artificial bee colony for feature selection DOI
Ezgi Zorarpacı, Selma Ayşe Özel

Expert Systems with Applications, Journal Year: 2016, Volume and Issue: 62, P. 91 - 103

Published: June 11, 2016

Language: Английский

Citations

348
Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization DOI
Ali Wagdy Mohamed, Anas A. Hadi, Kamal Jambi

et al.

Swarm and Evolutionary Computation, Journal Year: 2018, Volume and Issue: 50, P. 100455 - 100455

Published: Nov. 2, 2018

Language: Английский

Citations

219
From ants to whales: metaheuristics for all tastes DOI
Fernando Fausto, Adolfo Reyna-Orta, Erik Cuevas

et al.

Artificial Intelligence Review, Journal Year: 2019, Volume and Issue: 53(1), P. 753 - 810

Published: Jan. 19, 2019

Language: Английский

Citations

174
Constrained optimization based on modified differential evolution algorithm DOI
Ali Wagdy Mohamed,

Hegazy Zaher Sabry

Information Sciences, Journal Year: 2012, Volume and Issue: 194, P. 171 - 208

Published: Jan. 17, 2012

Language: Английский

Citations

197
The Comparisons of Optimized Extended Kalman Filters for Speed-Sensorless Control of Induction Motors DOI
Emrah Zerdali, Murat Barut

IEEE Transactions on Industrial Electronics, Journal Year: 2017, Volume and Issue: 64(6), P. 4340 - 4351

Published: Feb. 24, 2017

This paper presents the comparisons of optimized extended Kalman filters (EKFs) using different fitness functions for speed-sensorless vector control induction motors (IMs). In order to achieve high performance estimations states/parameter by EKF algorithm, state and noise covariance matrices must be accurately selected. For this aim, instead time-consuming trial-and-error method determine those matrices, in algorithm is differential evolution (DEA) multi-objective DEA (MODEA) with utilization functions. The optimally obtained set each used built on same IM model thus, estimation results algorithms are compared real-time experiments conclude which function better motion applications.

Language: Английский

Citations

161
Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation DOI
Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan

Soft Computing, Journal Year: 2017, Volume and Issue: 22(10), P. 3215 - 3235

Published: Aug. 12, 2017

Language: Английский

Citations

155
A new multiobjective performance criterion used in PID tuning optimization algorithms DOI Creative Commons
Mouayad A. Sahib, Bestoun S. Ahmed

Journal of Advanced Research, Journal Year: 2015, Volume and Issue: 7(1), P. 125 - 134

Published: April 6, 2015

In PID controller design, an optimization algorithm is commonly employed to search for the optimal parameters. The based on a specific performance criterion which defined by objective or cost function. To this end, different functions have been proposed in literature optimize response of controlled system. These include numerous weighted time and frequency domain variables. However, optimum desired it difficult select appropriate function identify best weight values required design. This paper presents new multiobjective Pareto front solutions. tested design automatic voltage regulator system (AVR) application using particle swarm algorithm. Simulation results show that can highly improve tuning comparison with traditional functions.

Language: Английский

Citations

146
An improved differential evolution algorithm with triangular mutation for global numerical optimization DOI
Ali Wagdy Mohamed

Computers & Industrial Engineering, Journal Year: 2015, Volume and Issue: 85, P. 359 - 375

Published: April 18, 2015

Language: Английский

Citations

118
Optimal scheduling of storage device, renewable resources and hydrogen storage in combined heat and power microgrids in the presence plug-in hybrid electric vehicles and their charging demand DOI
Hossein Eskandari,

Mohammadjavad Kiani,

Mahmoud Zadehbagheri

et al.

Journal of Energy Storage, Journal Year: 2022, Volume and Issue: 50, P. 104558 - 104558

Published: April 11, 2022

Language: Английский

Citations

46
A PI controller optimized with modified differential evolution algorithm for speed control of BLDC motor DOI Creative Commons
Jigang Huang, Fang Hui, Jie Wang

et al.

Automatika, Journal Year: 2019, Volume and Issue: 60(2), P. 135 - 148

Published: April 3, 2019

In this paper, a proportional integral (PI) controller that optimized with the modified different evolutional (DE) algorithm is proposed for speed control of brushless direct-current (BLDC) motor. The parameters PI are tuned by DE which based on adaptive mutation factor, multivariable fitness function and starting rule algorithm. performances controller, conventional standard (PI-SDE controller) investigated compared in simulation. Also, other optimization study. simulation results experimental verification show leads to smaller overshoot, less setting time rising controllers also can accelerate response BLDC motor, strengthen robustness guarantee motor runs smoothly as well precisely. This work indicates distinguished performance

Language: Английский

Citations

59