Using a Graph Based Database to Support Collaborative Interactive Evolutionary Systems

Web based, collaborative, interactive evolutionary computational systems, can generate a high amount of information. There is information regarding users and their collaborations, the interaction and subjective evaluation of individuals of the population. There is also information about the actual evolutionary process: relationships between individuals and evolutionary operators, used. In this work we propose the use of graph-based databases as back end storage of the evolutionary process of collaborative interactive evolutionary systems due to the expressiveness and flexibility provided by the model and how relationships found on the system can be easily mapped to graphs. The flexibility provided enables the design of user models, social network modules that can enhance the system. As a proof of concept, a comparative implementation against a relational database is presented.