peiman ghasemi; Kaveh Khalili; Farshid Abdi
Abstract
Today, vital infrastructure of security systems, are at risk of deliberate attacks and to provide the necessary preparations and an appropriate response to the attacks, strengthening the vital infrastructure is considered. In this paper, a special type of strengthening the vital infrastructure is discussed ...
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Today, vital infrastructure of security systems, are at risk of deliberate attacks and to provide the necessary preparations and an appropriate response to the attacks, strengthening the vital infrastructure is considered. In this paper, a special type of strengthening the vital infrastructure is discussed that in which before they are constructed, there would be planning about strengthening them. The case is formulated as a two-level planning that in high level, the defender is looking for minimizing the total cost, considering which facilities are built, and each facility, in terms of pre-attack, services which costumer and in terms of post-attack, how many defenders assigned to each facility. While at a low level, (the attacker) is looking for imposing the maximum cost to the system considering which facility and at what level of severity, is attacked. To resolve the case, a meta-heuristic ways based on simulated annealing method suggested and by solving an example and compare its results with the results of the exact solution, the effectiveness of the method has been tested.
Peiman Ghasemi; Kaveh Khalili Damghani; Ashkan Hafezalkotob; Sadigh Raissi
Abstract
In this paper, decisions about different phases of crisis management cycle are modeled in the form of an integrated mathematical programming model based on the assumption of the real situation of the crisis. Goals are minimizing the number of injured people who are not serviced and minimizing the cost ...
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In this paper, decisions about different phases of crisis management cycle are modeled in the form of an integrated mathematical programming model based on the assumption of the real situation of the crisis. Goals are minimizing the number of injured people who are not serviced and minimizing the cost of relief supplies in affected areas. Simultaneous optimization of locating problems of relief bases, allocation of resources, distribution and delivery of relief supplies and evacuation of injured (pre and post-crisis situations) are among the innovations of this research. Therefore, scenarios based on existing faults (four faults) in region one of city of Tehran are considered. In this study, first, we present a binary integer programming model. To validate the model, the Epsilon Constraint method in software environment of GAMS with the CPLEX solver has been used to solve the problem in small scale. To solve the problem in large scale, we have investigated a case study using the data of relief bases in region one of Tehran city. The case study was also investigated using non-dominant sorting Genetic approach. The results of the research show that the non-dominant sorting Genetic approach can solve the model with the least error than the exact solution and in less time.
