Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

TÜBİTAK

Journal

2013

Differential evolution

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Symbol Detection Using The Differential Evolution Algorithm In Mimo-Ofdm Systems, Muhammet Nuri̇ Seyman, Necmi̇ Taşpinar Jan 2013

Symbol Detection Using The Differential Evolution Algorithm In Mimo-Ofdm Systems, Muhammet Nuri̇ Seyman, Necmi̇ Taşpinar

Turkish Journal of Electrical Engineering and Computer Sciences

Channel estimation and symbol detection in multiple-input and multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems are essential tasks. Although the maximum likelihood (ML) detector reveals excellent performance for symbol detection, the computational complexity of this algorithm is extremely high in systems with more transmitter antennas and high-order constellation size. In this paper, we propose the differential evolution (DE) algorithm in order to reduce the search space of the ML detector and the computational complexity of symbol detection in MIMO-OFDM systems. The DE algorithm is also compared to some heuristic approaches, such as the genetic algorithm and particle swarm optimization. According …


Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel Jan 2013

Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel

Turkish Journal of Electrical Engineering and Computer Sciences

Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the effectiveness of the differential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is efficient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) flexible alternating current transmission system (FACTS) device is incorporated to control the power flows. The optimal settings of …


Multiobjective Differential Evolution-Based Performance Optimization For Switched Reluctance Motor Drives, Hedi Yahia, Noureddine Liouane, Rachid Dhifaoui Jan 2013

Multiobjective Differential Evolution-Based Performance Optimization For Switched Reluctance Motor Drives, Hedi Yahia, Noureddine Liouane, Rachid Dhifaoui

Turkish Journal of Electrical Engineering and Computer Sciences

The simple structure, low manufacturing cost, rugged behavior, high torque per unit volume, and wide torque-speed range make a switched reluctance motor (SRM) very attractive for industrial applications. However, these advantages are overshadowed by its inherent high torque ripple, acoustic noise, and difficulty to control. The controlled parameters in SRM drives can be selected as the turn-on angle, the turn-off angle, and the current reference. This paper investigates the problem of optimal control parameters considering the maximum average torque, minimum copper losses, and minimum torque ripple as the main objectives in SRM drives. The use of evolutionary algorithms (EAs) to …