Design of Microstrip Antennas Using Differential Evolution Algorithm
نویسندگان
چکیده
Differential evolution (DE) algorithm is applied to the design of single-layer and multi-layer microstrip antennas. For the design of single-layer co-axial probe-fed microstrip antenna, fitness function is obtained from cavity model theory of microstrip antenna, whereas for the design of multi-layer aperture-coupled microstrip antenna, transmission line model is used to obtain fitness function for DE. In both the cases, results obtained using DE, are verified with the results, obtained using genetic algorithm (GA) and particle swarm optimization (PSO).
منابع مشابه
Antenna Miniaturization Using Fractals (RESEARCH NOTE)
Antenna Miniaturization Using Fractals Richa Garg, AP ECE Deptt., [email protected], J.C.D.C.O.E., Sirsa ABSTRACTThe use of fractal geometry in designing antenna has been a resent topic of interest. Fractal shape has their own unique characteristics that the improved antenna performance can be achieved without degrading the antenna properties. Modern telecommunication system requires antenn...
متن کاملDesign of Short-Circuited Microstrip Antenna Using Differential Evolution Algorithm
Differential evolution (DE) algorithm is used to design a microstrip antenna, loaded with a shorting pin. The position of probe and the position of shorting pin are optimized using DE. The fitness function for DE is obtained using multiport network modelling technique. Antenna is fabricated and measured results are compared with the theoretical results.
متن کاملDesign of Aperture-Coupled Microstrip Antenna for HIPERLAN/2 Using Differential Algorithm
In this paper, design of an aperture-coupled microstrip antenna (ACMSA) using differential evolution algorithm (DE) is described. The classical transmission line model for microstrip antenna is used to determine fitness function for DE and computed results are compared with the results obtained using particle swarm optimization (PSO) and binary coded genetic
متن کاملOPTIMAL DESIGN OF CANTILEVER RETAINING WALL USING DIFFERENTIAL EVOLUTION ALGORITHM
Optimal design of cantilever reinforced concrete retaining wall can lead considerable cost saving if its involvement in hill road formation and railway line formation is significant. A study of weight reduction optimization of reinforced cantilever retaining wall subjected to a sloped backfill using Differential Evolution Algorithm (DEA) is carried out in the present research. The r...
متن کاملOPTIMAL DESIGN OF GRAVITY DAM USING DIFFERENTIAL EVOLUTION ALGORITHM
The shape optimization of gravity dam is posed as an optimization problem with goals of minimum value of concrete, stresses and maximum safety against overturning and sliding need to be achieved. Optimally designed structure generally saves large investments especially for a large structure. The size of hydraulic structures is usually huge and thus requires a huge investment. If the optimizatio...
متن کامل