Decision modeling for resilient infrastructures

Research on resilient infrastructures in this paper focuses on getting disrupted infrastructures back to normal as soon as possible, i.e., a timely, efficient recovery from disruptions caused by natural, technological and willful disasters. The models and algorithms are presented for the optimal restoration strategy, with consideration of interdependencies of infrastructures. The contribution of this paper will be of assistance to emergency mangers´ decision-making processes for mitigating the impact of disasters.