An object-oriented library based on computational intelligence techniques for optimization in electromagnetics

This paper proposes a structure of classes that uses the concepts of object-oriented programming to develop a library based on computational intelligence techniques for optimization in electromagnetics. In this library, artificial neural networks and neurofuzzy networks are considered. Based on this division, the required classes for the library implementation are presented. Finally, the TEAM workshop problem 22 is investigated. The results obtained are in accordance with the best known in the literature.