An Evolutionary Computing Model to Implement Decision Support Systems for Buying Electronics
Source: Universidade Federal de Alagoas
The representation of data through a search engine in e-commerce systems using decision support systems can be considered a complex process due to lots of information and may grow exponentially, according to research performed by the user for acquisition of equipment electronics. The import information collected by the system may influence the time to answer during the course of the search engine in accordance with the user's request. This paper proposes a hybrid approach using database and genetic algorithm based on abstract data types to reduce the data of database dimensionality and helpful in the selection of products.