Algoritmo de otimização por colônia de abelhas na classificação de imagens.

Abstract

One of the great challenges of modern computing is knowing how to work with the large amount of data to be analyzed. In this scenario, is inserted the discovery of knowledge that every day is gaining more importance in the most diverse areas where the computer is inserted. Knowledge is a differential for decision-making processes in any area of business and also for scientific, technological and human development. Developing mechanisms, techniques, algorithms that aim to optimize and facilitate this process of discovery on data brings contributions to Computing. In this theme, the objective is to develop an algorithm based on the technique of Optimization by Bee Colony to classify images. The methodology involved a bibliographic survey about the subjects involved in the research, search for related works to understand the swarm techniques studied (Optimization by Particle Swarm, Optimization by Colony of Ants and Optimization of Colony of Bees), decision by the technique developed, modeling and development Of the technique for classifying images. For the validation, three databases were used containing people's faces, fruits and cured tobacco leaves. For the three cases of different bases satisfactory results were obtained with some adjustments in the algorithm configurations of the implemented technique.