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This paper describes a new method for the synthesis of planar antenna arraysusing fuzzy genetic algorithms (FGAs) by optimizing phase excitationcoefficients to best meet a desired radiation pattern. We present theapplication of a rigorous optimization technique based on fuzzy geneticalgorithms (FGAs), the optimizing algorithm is obtained by adjusting controlparameters of a standard version of genetic algorithm (SGAs) using a fuzzycontroller (FLC) depending on the best individual fitness and the populationdiversity measurements (PDM). The presented optimization algorithms werepreviously checked on specific mathematical test function and show theirsuperior capabilities with respect to the standard version (SGAs). A planararray with rectangular cells using a probe feed is considered. Included exampleusing FGA demonstrates the good agreement between the desired and calculatedradiation patterns than those obtained by a SGA.

Phase-Only Planar Antenna Array Synthesis with Fuzzy Genetic Algorithms