Application of Genetics Algorithm in linear array synthesis to reduce levels of side lobe pattern

There are numerous problems in electrical engineering for which there are no analytical solutions. In fact, electromagnetics’ problems are often nonlinear and non-differentiable in practice. One of the most effective methods to solve these types of problems is genetics algorithm method. Using generation survival rules, genetics algorithm randomly directs a population towards a solution. Compared to the traditional methods, this algorithm allows a faster overall optimum, which is the main goal of every optimization method.

Keywords:

Genetics algorithm , Side lobe , linear arrays synthesis