An integer L-shaped algorithm for the integrated location and network restoration problem in disaster relief

Being prepared for potential disaster scenarios enables government agencies and humanitarian organizations to respond effectively once the hits. In literature, two-stage stochastic programming models are commonly employed develop preparedness plans before anticipated disasters. These can be very difficult solve as complexity increases with several sources of uncertainty interdependent decisions. this study, we propose an integer L-shaped algorithm integrated location network restoration model, which is a model determining number locations emergency response facilities resources under uncertainty. Our accommodates second-stage binary decision variables required indicate undamaged restored roads that used relief distribution. computational results show our outperforms CPLEX larger solution time only linearly increases.