Weights Adaptation Optimization of Heterogeneous Epidemic Spreading Networks: A Constrained Cooperative Coevolution Strategy

摘要: In this paper, the dynamic constrained optimization problem of weights adaptation for heterogeneous epidemic spreading networks is investigated. Due to powerful ability searching global optimum, evolutionary algorithms are employed as optimizers. One major difficulty that dimension increasing exponentially with network size and most existing cannot achieve satisfiable performance on large-scale problems. To address issue, a novel cooperative coevolution ($C^3$) strategy, which can separate original into different subcomponents, trade-off between constraint objective function.