Developing Model of Optimum Scheduling for Relay Transportation System in Crisis Condition respect to Capacity of Fleet Case study: Qazvin City

Avoidance of turning natural disasters to natural tragedies requires upraising in capacitance of management and planning in crisis management. Into this purpose, seconds and minutes should be considered as an essential limitation to save lives in such natural catastrophes in the process of serving. Therefore, this paper presents the optimization of transfer time of injured people in crisis condition to the hospital in the three-stage supply chain, regarding to one hospital and relay's fleet for main remedial serving organ in Qazvin and real distances of regions than this place, respect to the capacity of fleet. Degree of complexity of the problem is NP-hard. So, find an optimal solution in a reasonable time is impossible by using accurate methods. In This paper, a dynamic genetic algorithm has been employed in which contains chromosomes with variable structure in order to solve the problem. In addition, for evaluation of results accuracy from this algorithm, it compare with result from random search method. Results show genetic algorithm is more reliable and demonstrate the improvement of average results with increase of relay vehicle .and capacity of them; also the deterioration of average results with growth of injured people