Optimization algorithms for transportation problems with stochastic demand

The purpose of this paper is to solve the stochastic demand for unbalanced transport problem using heuristic algorithms obtain optimum solution, by minimizing costs transporting gasoline product Oil Products Distribution Company Iraqi Ministry Oil. most important conclusions that were reached are results prove possibility solving random transportation when uncertain programming model. obvious finding emerge from work genetic algorithm was able address problems transport, And applying model approved oil products distribution company in minimize total costs, Where 25%. A future study investigating optimization with stochastics would be very interesting.