Conceptual clustering with parallel genetic algorithm on a multiprocessor system of a fractal geometry-based interconnection network

The methodology that classify a set of objects obtained by the observation into the meaningful groups has been proposed. In this paper, we consider the conceptual clustering using the genetic algorithm (GA) that is regarded as an effectual method to solve the combinatorial optimization problem through a multiprocessor system (FIN) which has a self-similarity network. The simulation has been implemented by the proposed method.<>