Design and Thinning of Linear and Planar Antenna Arrays Using a Binary Teaching Learning Optimizer

Abstract

In this paper, a binary variant of the teaching learning optimization technique is used to the design and thinning of linear and planar arrays. The purpose of the optimization task is to enhance the ratio directivity/sidelobe level which turns out to be having two conflicting parameters. The binary variant of the teaching learning optimization technique searches the way of exciting some selected elements. The array thinning problem requires some elements to be excited with the others having no current in them. This is a binary (ON-OFF) problem that requires an optimization technique that can handle the binary variables. The teaching learning optimization has been proposed initially to handle real valued variables. The results show good agreement between the desired and calculated radiation patterns with reduction in resource usage in terms of power consumption.

A Mathematical Model for Transporting the Arriving Passengers from the Airport to the City Centre

“…Although its implementation to real life problems is generally hard, optimisation has a wide range of application areas, e.g. [1][2][3][4][5][6][7][8][9]. More specifically, the reports that focus on passenger-related airport operation (without claiming that all of them were found) are presented in this section.…”

Application of Multiple Input Multiple Output Power Line Communication (MIMO-PLC) to Power Systems

“…Utilities prefer to have a fixed connection and full control over their own communications infrastructure, for economic and strategic reasons. The advantage of this technology is in transmitting information to selected users, broadcast simultaneously to all users; turn off parts of the network in the event of danger and to gather user statistics [4][5][6][7][8][9][10][11].…”