SIMULATION OF THE RELATIONSHIP BETWEEN PRICES AND AVERAGE REVENUE OF THE POPULATION USING GENETIC ALGORITHMS

In this paper we want to achieve a simulation of the evolution of the relationship between average net revenue from wages and the prices of different categories of products from Romania during 1990-2007. For this simulation we used a technique of artificial intelligence (AI), an area of IT used spreadingly in the complex economic processing. This technique is inspired by biology, bearing the name of Genetic Algorithms (GA). We resorted to this method because some statistical methods are difficult to use and for our conditions they provide inadequate results. The start year of the study is considered 1991, year which represents start of crisis in Romania with multiple political, legal and economic changes. This crisis will be highlighted in our study, by listing the main reasons that have caused it. Average annual revenue in the period studied is a dependent variable, while prices for six categories of products are considered independent variables. In order to compare data from different time periods, all values are expressed in RON. These real data have been shaped using genetic algorithms, making it possible to observe the evolution of the studied indicator and correlate him with the indicator acquired in 1991.