Modelo baseado em RBC usando algoritmos genéticos para auxiliar na educação ambiental utilizando casos no contexto do gerenciamento do lixo eletrônico

Abstract

The environmental issue is widely debated in our society, in fact man and nature have always had a conflicted relationship, you need to think and act quickly, efficiently and effectively on how humans relate to the environment seeking self development - sustainable without compromising the quality of life on the planet Earth. Current society, capitalist, industrial and highly supported by the advertising industry has implicitly printing a highly consumerist lifestyle, exacerbated in relation to technological advancement and with that, we live a moment of intense acquisition and disposal of equipment which time life becomes increasingly smaller. Electronic waste or “e-waste” generated by the large amount of technological products made available to the company is a counterweight to the evolution of access to information and communication, brings in its wake a great damage to the environment and consequently to man. Disposal of e-waste is highly harmful to nature due to its components, if not properly treated and disposed of, they can also represent new business opportunities and learning, as is done in many parts of the world, including Brazil. This work focuses on proposing a computational model of learning based on RBC using genetic algorithms to assist in environmental education using the representation case management process of e-waste as a study area with the city of Maceió/AL - a city with a tourism potential and a huge geographical size, relatively small, and in addition, identify the vocabulary indexing the scope of management "trash " and build a technological base cases on the subject.