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To synthesize planar arrays, a new optimization algorithm namely Competition Over Resources (COR) is presented. This method imposes deeper nulls with the constraint of Side Lobe Level (SLL). COR is a new meta-heuristic algorithm based on competitive behavior of animal groups over food resources. The algorithm restricts Dynamic Range Ratio (DRR) in order to achieve a better control of the mutual coupling...
planar array antenna synthesis is one of the most popular optimization problems in electromagnetic and antenna community. This paper introduces a recently algorithm, known as the Gravitational Search Algorithm (GSA), to the pattern synthesis of planar antenna array for imposing deeper nulls in the interfering direction and desired side lobe level (SLL) by position-only optimization. The results of...
This paper will investigate a method of synthesizing planar arrays through the application of a new optimization algorithm based on competitive behavior of animal groups that will impose deeper nulls in the interfering direction with the constraint of a reduced Side Lobe Level (SLL). Simulation results for optimal patterns by position-only and both the element space and amplitude controlling with...
In the recent years, many heuristic optimization algorithms derived from the behavior of biological or physical systems in nature have been developed. In this paper, we propose a new optimization algorithm based on competitive behavior of group animals. The competition gradually results in an increase in population of wealthy group which gives a fast convergence to the optimization algorithm. In the...
In the recent years, many heuristic optimization algorithms derived from the behavior of biological or physical systems in nature have been developed. In this paper, we propose a new optimization algorithm based on competitive behavior of group animals. The competition gradually results in an increase in population of wealthy group which gives a fast convergence to the optimization algorithm. In the...
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