چكيده به لاتين
Abstract
Nowadays the social wellbeing of people highly relies on the well functioning of critical interconnected infrastructures such as transportation, information, telecommunication, and electric power systems. Planning and protecting infrastructure systems is a complex task, especially because of their dimension and interdependence. Even small random disruptions can severely affect the normal functioning of one or more infrastructure. Intelligent attacks or large natural catastrophes can have even more dramatic consequences in terms of both economic and life losses.
The railway transportation is One of the most important infrastructure for each country where if a interdiction occur in it can cause irregularities and affect many other social infrastructures. So, in this research, we are faced with a railway network that includes several stations and routes, and we, as the system's defender, have to make the most optimal decision on how to allocate capital to protect the system against terrorist attacks and deliberate attacks while the most demands are met after attacks.
The problem is formulated as a bilevel model and uncertainty Is considered in the model. We consider a dynamic investment problem where protection resources become available over a planning horizon. The model is solved with a meta-heuristic approach and compare with an exact method.
Keywords: optimization, interdiction, protection, infrastructure, resource allocation, meta-heuristic approach, uncertainty, dynamic investment problem
