Genetic algorithms for decisional DNA: solving sets of experience knowledge structure

Set of Experience Knowledge Structure (SOE) has been shown as a tool able to collect and manage explicit knowledge of formal decision events. This structure, after being homogenized and mixed, offers a set of possible solutions that probably, could be improved. The purpose of this article is to show a search process for improved optimal solutions by implementing Evolutionary Algorithms (Genetic Algorithms). Afterward, according to the user's priorities, a unique optimal solution is chosen. Subsequently, such holistic improved SOE is stored as an experienced decision, feeding a knowledge repository of Decisional DNA that would be a useful technology within many different intelligent systems and platforms, including the Knowledge Supply Chain System.