Informed mutation operator using machine learning for optimization in epidemics prevention
Krzysztof Michalak · Proceedings of the Genetic and Evolutionary Computation Conference · 2018
This paper concerns using evolutionary algorithms for optimization in epidemics prevention. Spreading of the epidemic is simulated on a graph and the goal of optimization is to determine which vertices in the graph to vaccinate in order to minimize the number of vertices affected by the epidemic. Decisions whether to vaccinate a vertex or not are represented using a binary genotype.