GENETIC ALGORITHM AND OPTIMIZATION OF THE SALES ASSORTMENT STRUCTURE

Sa？etak The genetic algorithm belongs to a group of evolutionary algorithms that find inspiration in Darwin's theory of maintaining the best species. It is based on only three operations: selections, crossover and mutations. The application space is found in all areas that require optimization by finding the values of the variables that optimize the target function. Each genetic algorithm therefore uses a fitness function in order to choose the best crossover units from the population in the next generation. The optimal structure of sales assortment is a theoretical and pragmatic challenge to the sales function in every market-oriented organizational system. In this paper, the optimization of the sales assortment structure is viewed as the task of determining the share of individual products in a group of products sold on a particular market. There is a hypothesis that the structure of the sales assortment can be optimized using the genetic algorithm. In the paper is developed software solution in C# to verify the main hypothesis and the solution is open to new extensions and demonstrates a satisfying application power