• praisys@lehigh.edu



  • Aman Karamlou, Paolo Bocchini. From component damage to system-level probabilistic restoration functions for a damaged bridge. Journal of Infrastructure Systems, 2016, DOI: 10.1061/(ASCE)IS.1943-555X.0000342.
    This paper proposed simulation-based technique to compute the probabilistic characteristics of the functionality for a damaged bridge at component-level. Uncertainties in restoration durations and decision process are considered in the simulation analysis. The proposed methodology is applied to a multispan simply supported (MSSS) steel girder bridge after an earthquake.

  • Aman Karamlou, Paolo Bocchini. Sequencing algorithm with multiple-input genetic operators: application to disaster resilience. Engineering Structures, 117(C), 591 - 602, 2016.
    This paper presents a novel evolutionary optimization methodology called "Algorithm with Multiple-Input Genetic Operators” (AMIGO) for optimal resilience restoration scheduling independent tasks considering resource and time constraints.

  • Ying Zhang, Lawrence V. Snyder, Ted K. Ralphs, Zhaojie Xue. The competitive facility location problem under disruption risks. Transportation Research Part E: Logistics and Transportation Review, 93, 453-473, 2016.
    This paper investigates a facility location problem incorporating service competition and disruption risks. A new binary bilevel linear programming (BBLP) model is developed to determine the locations for the leader to maximize her market share, under the strongest possible response by the follower.

  • Ying Zhang, Lawrence V. Snyder, Mingyao Qi, Lixin Miao. A heterogeneous reliable location model with risk pooling under supply disruptions. Transportation Research Part B Methodological, 83, 151-178, 2016.
    This paper investigates a facility location model that considers the disruptions of facilities and the cost savings from the inventory risk-pooling effect and economies of scale.