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以投资最小为目标函数,建立了注水系统拓扑布局优化数学模型.根据模型特点,将优化问题分为两层,分别采用遗传算法和非线性优化方法进行求解.并对遗传算法的操作过程进行了改进,调整了适应函数,改进了交叉和变异操作,结合了模拟退火算法,在操作过程中使约束条件得到满足,减少了不可行解的产生,使遗传算法的优化性能得到了提高.优化算例说明了该方法的有效性.
Taking the minimum investment as the objective function, the optimization mathematical model of waterflooding system topological layout is established.According to the characteristics of the model, the optimization problem is divided into two layers, which are respectively solved by genetic algorithm and nonlinear optimization method.And the operation of genetic algorithm Improve and adjust the adaptation function, improve the crossover and mutation operation, combined with the simulated annealing algorithm, the constraints in the operation process to be satisfied, reducing the generation of infeasible solutions, the optimization of genetic algorithm has been improved. Example illustrates the effectiveness of the method.