Phase compensating dielectric lens design with genetic programming

Abstract

This article illustrates a microwave dielectric lens design using genetic programming (GP), which, to the best knowledge of the authors, is the first time GP has been applied to design a microwave dielectric lens. A phase-compensating single layer lens and a quarter-wave phase-compensating multilayer dielectric lens, which uses four types of materials and a zoned structure, was designed using GP. The dielectric lens shape was designed using GP strategy, with a random initial shape, to compensate for the phase error of the multilayer dielectric lens and to achieve the required performance. Standard GP (SGP) and hierarchical fair competition genetic programming (HFC-GP) was applied to obtain the solution. The results show that this novel method of microwave lens shape design using GP is both accurate and stable. In addition, the simulation results of using high frequency simulation software (HFSS) are illustrated and compared.

Dynamic population variation in genetic programming

“…genetic programming (GP), which is an automatic domain-independent method, has addressed such questions with a good measure of success. It has been applied in various branches of engineering and sciences including biomedical science [17,19,21,35,44,47,53], classification tasks [14,27,31,49,50,54,55,57], navigation tasks [1,4,36], image processing and pattern recognition [9,10,22,28,57], neural networks [1,7,36,39] and robotics [23,32,33,40], and in many other various applications and disciplines [8,12,18,20,34,40,41,45,46,51,56], to name but a few. However, one of the main drawbacks of GP has been the often large amount of computational effort required to solve complex problems.…”