An Informative Differential Evolution Algorithm with Self Adaptive Re-Clustering Technique for the Optimization of Phased Antenna Array

In this paper, we propose a new algorithm called An Informative Difierential Evolution with Self Adaptive Re-clustering Technique to flnd the amplitude-phase excitation of a linear phased array to have the desired far fleld pattern. Here we consider three problems for three difierent far fleld patterns and each problem is optimized with this algorithm. This algorithm has a proper balancing of exploration and exploitation power which is achieved with the help of information exchange among the subpopulations. We also used an elitist local search algorithm for the flne tuning at the suspected optimal position, and that helps us from the unnecessary wastage of Function Evaluations (FEs).

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