Soft Computing Techniques Implementation and Challenges in Antenna Engineering

This paper shows the usefulness of soft computing techniques in antenna parameters calculation, design and optimization. Since long time, different soft computing techniques have been drawn attention of researchers, such as Artificial neural network (ANNs), Fuzzy Logic, Radial basis function neural network (RBFNNs) and evolutionary algorithms (EAs). Some popular EAs are Genetic algorithm and its variants, Particle swarm optimization (PSO), Ant Colony, Differential Evolution, Bacterial Foraging Optimization (BFO) and Biogeography Based Optimization (BBO). The main focus in this paper is to review implementation and optimization of different antenna structures through different optimization techniques.