Linear Antenna Array Optimization by Using Evolutionary Algorithms

In this paper, the Invasive Weeds optimization( IWO) is exploited to produce the array radiation pattern that is nearest to the desired objective which exhibits sidelobe level (SLL) suppression and/or null placement. The inter-element position of even element Linear Arrays Array (LAA) is optimized and relocated whilst maintaining uniform excitation over the array aperture and the phase of the antenna . IWO method is utilized here as an adaptive beam former that makes a uniform linear antenna array steer the main lobe towards the Direction of Arrival (DoA) of a desired signal, form nulls towards the respective DoA of several interference signals and achieve low side lobe level (SLL). The IWO algorithm can be successfully used to locate the optimum element positions based on symmetric. The results obtained showed that the IWO algorithm is capable of finding the optimal solution in most cases with superior performance over conventional and particle swarm optimization (PSO) methods.