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Katherine Siakavara

Researcher at Aristotle University of Thessaloniki

Publications -  109
Citations -  1506

Katherine Siakavara is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Antenna (radio) & Microstrip antenna. The author has an hindex of 18, co-authored 108 publications receiving 1225 citations.

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Application of a Comprehensive Learning Particle Swarm Optimizer to Unequally Spaced Linear Array Synthesis With Sidelobe Level Suppression and Null Control

TL;DR: The synthesis examples that are presented show that the CLPSO algorithm outperforms the common PSO algorithms and a real-coded genetic algorithm (GA).
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Self-Adaptive Differential Evolution Applied to Real-Valued Antenna and Microwave Design Problems

TL;DR: A design technique based on a self-adaptive DE (SADE) algorithm is applied to real-valued antenna and microwave design problems, showing the advantages of the SADE strategy and the DE in general.
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On the Direction of Arrival (DoA) Estimation for a Switched-Beam Antenna System Using Neural Networks

TL;DR: A generic direction of arrival (DoA) estimation methodology is presented that is based on neural networks and designed for a switched-beam system (SBS), and can be applied to current cellular communications base stations, promoting the wider use of smart antenna beamforming.
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Sparse Linear Array Synthesis With Multiple Constraints Using Differential Evolution With Strategy Adaptation

TL;DR: The results show that fewer objective-function evaluations are required than those reported in the literature to obtain better designs and SaDE also outperforms the other DE algorithms in terms of statistical results.
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A Multi-Objective Approach to Subarrayed Linear Antenna Arrays Design Based on Memetic Differential Evolution

TL;DR: A new memetic multi-objective evolutionary algorithm namely the memetic generalized differential evolution (MGDE3) is introduced, a memetic extension of the popular GDE3 algorithm, providing an extensive set of solutions for each design case.