关键词: 遗传算法, 成品油, 管网, 优化布置, MATLAB

Abstract: Considering the parameter fluctuations, using multi-objective weighting method, the present value sum of pipe and tank investment and maintenance, energy costs and mixed oil processing costs in life-cycle as the objective function, network layout situation as the decision variables, a product pipeline network optimal layout model was established. Use the genetic algorithm to solve it. This method is clear, fast and effective which leads to a satisfactory solution. Calculation results show that the optimal solution calculated by GA is more economic than the Kruskal or Prim algorithm, and product pipeline network parameter must be strictly set. If the parameters have a larger range, change the weight coefficients can generates a variety of designs for choosing. MATLAB genetic algorithm toolbox provides a friendly interface and easy to set which is convenient for engineering applications.

Key words: Genetic algorithm, Product oil, Pipeline network, Optimum layout, MATLAB