Cascading failure behavior in weighted network is studied based on the load-capacity relationship, and a load-
capacity nonlinear model is proposed in this paper. To solve the parameter optimization problem of the model, influencing
factors of parameter value are specified by using theoretical analysis at first, and then multi-objective particle swarm
optimization algorithm based on crowding distance sorting strategy(MOPSO-CD) is used to optimize capacity parameters by
taking the robustness measure and network cost measure as the objective function, where the robustness measure is defined
as the ratio of network connectivity fore-and-aft cascading failure and the network cost measure is defined as the average of
the ratio of network capacity and load. The numerical simulations on both model networks and real-world networks verify
the effectiveness of the proposed model and the optimization method.