evolutionary computation on complex spatially-distributed networks
In this paper, we describe a new computational approach to optimize the architecture of complex spatially-distributed networks. The proposed approach is based on an evolutionary search of "what-if" networks generated from a seed network. A genetic algorithm optimizes the network toward certain objective measures. The utility of the proposed method is illustrated on an example using the Canadian Search and Rescue capability for the High North region.
optimization genetic algorithms socio-technical networks performance measures