Computer Science – Neural and Evolutionary Computing
Scientific paper
2010-02-05
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 2, January 2010, http://ijcsi.org/articles/Pha
Computer Science
Neural and Evolutionary Computing
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 2, January 2010, http://ijcsi.org/articles/Pha
Scientific paper
This paper describes a new method for the synthesis of planar antenna arrays using fuzzy genetic algorithms (FGAs) by optimizing phase excitation coefficients to best meet a desired radiation pattern. We present the application of a rigorous optimization technique based on fuzzy genetic algorithms (FGAs), the optimizing algorithm is obtained by adjusting control parameters of a standard version of genetic algorithm (SGAs) using a fuzzy controller (FLC) depending on the best individual fitness and the population diversity measurements (PDM). The presented optimization algorithms were previously checked on specific mathematical test function and show their superior capabilities with respect to the standard version (SGAs). A planar array with rectangular cells using a probe feed is considered. Included example using FGA demonstrates the good agreement between the desired and calculated radiation patterns than those obtained by a SGA.
Bendimerad Fethi Tarik
Boussahla Miloud
Kadri Boufeldja
No associations
LandOfFree
Phase-Only Planar Antenna Array Synthesis with Fuzzy Genetic Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Phase-Only Planar Antenna Array Synthesis with Fuzzy Genetic Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Phase-Only Planar Antenna Array Synthesis with Fuzzy Genetic Algorithms will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-535511