Optimization of Antenna Configuration With a Fitness-Adaptive Differential Evolution Algorithm

Abstract

Abstract-In this article, a novel numerical technique, called Fitness Adaptive Differential Evolution (FiADE) for optimizing certain pre-defined antenna configuration to attain best possible radiation characteristics is presented. Differential Evolution (DE), inspired by the natural phenomenon of theory of evolution of life on earth, employs the similar computational steps as by any other Evolutionary Algorithm (EA). Scale Factor and Crossover Probability are two very important control parameter of DE.This article describes a very competitive yet very simple form of adaptation technique for tuning the scale factor, on the run, without any user intervention. The adaptation strategy is based on the fitness function value of individuals in DE population. The feasibility, efficiency and effectiveness of the proposed algorithm in the field of electromagnetism are examined over a set of well-known antenna configurations optimization problems. Comparison with the some very popular and powerful metaheuristics reflects the superiority of this simple parameter automation strategy in terms of accuracy, convergence speed, and robustness.

Optimization of modified T‐shape microstrip patch antenna using differential algorithm for X and ku band applications

“…[19], dual-band circularly polarized spidron fractal microstrip patch antenna for X and Ku band applications had been designed with frequency band ranging from 11.44 to 12.48 GHz and 13.47 to 14.39 GHz, the overall size was 50 3 50 3 1.52 mm 3 , this was again considered to be very large and resulted in a complex design. Therefore, visualizing the overall antenna size issues, the main aim of this paper is to design an inset-fed dual-band microstrip antenna using DE with small and compact size which covers the specified frequency range for application in X band (8)(9)(10)(11)(12) and Ku band (12)(13)(14)(15)(16)(17)(18) in Ref. [20].…”

“…7,8 In present work, the focus is on designing an inset-fed slotted microstrip patch antenna with a compact size, using Differential Algorithm (DE), which optimizes the antenna design parameters like length, width, and feed line position to obtain the desired results for ultimate performance. [9][10][11] DE is a global optimization problem which is consistently ranked as one of the best search algorithms for several case studies. 12 It was developed by Price and Storn in 1996 for handling the nondifferentiable, nonlinear, and multimode objective functions.…”

Design of Dual Offset Shaped Reflector Antenna Based on Degl Algorithm

“…Differential Evolution (DE) algorithm is well known as a simple and efficient scheme for global optimization over continuous spaces [9][10][11][12]. It is reportedly better than a few evolutionary algorithms [13,14].…”

Modified Differential Evolution Algorithm for Pattern Synthesis of Antenna Arrays

“…It has been successfully applied to array synthesis problems, antenna and filter design problems and some other engineering problems [14][15][16][17]. To accelerate the convergence speed of DE, many variants to SDE have been proposed and these improvement measures mainly focus on the parameter settings, evolution strategies (especially mutation strategies), combinations with heuristic or other classic algorithms, etc.…”