Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks

This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electric power utilities. EVOLT uses a population of individuals, each of which represents a set of QoS parameters, and evolves them via genetic operators such as crossover and mutation for satisfying given QoS requirements. Simulation results show that EVOLT outperforms a well-known existing evolutionary algorithm for multiobjective optimization and efficiently obtains quality QoS parameters with acceptable computational costs.