A Sexual Elitist Genetic Algorithm for Providing QoS in Distributed Virtual Environment Systems

Architectures based on networked servers have become a de-facto standard for Distributed Virtual Environment (DVE) systems. These systems allow a large number of remote users to share a single 3D virtual scene. In order to provide quality of service in a DVE system, clients should be assigned to servers taking into account system throughput and system latency. This highly complex problem is known as the quality of service (QoS) problem. This paper proposes an elitist sexual genetic algorithm for solving the QoS problem in Distributed Virtual Environment systems. Performance evaluation results show that, due to its ability of both finding good search paths and keeping diversity escaping from local minima, this nature inspired technique can provide significantly better solutions than other heuristic methods with shorter execution times. Therefore, the proposed implementation of GA search method can improve the QoS offered by DVE systems.