Comparison of Evolutionary Optimization Algorithms for FM-TV Broadcasting Antenna Array Null Filling n

Broadcasting antenna array null filling is a very challenging problem for antenna design optimization. This paper compares five antenna design optimization algorithms (Differential Evolution, Particle Swarm, Taguchi, Invasive Weed, Adaptive Invasive Weed) as solutions to the antenna array null filling problem. The algorithms compared are evolutionary algorithms which use mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. The focus of the comparison is given to the algorithm with the best results, nevertheless, it becomes obvious that the algorithm which produces the best fitness (Invasive Weed Optimization) requires very substantial computational resources due to its random search nature. Keywords— antenna array, null filling, evolutionary optimization algorithms, Particle Swarm, PSO, Differential evolution, Invasive Weed Optimization, IWO.