基于双重编码遗传算法的注水系统运行优化

以耗电量最小为目标函数，建立注水系统优化数学模型。根据运行优化要解决最优开泵方案及排量2个问题，遗传算法采用了二进制编码和实数编码相结合的双重编码。针对遗传算法的局限性，对适应函数进行了调整，改进交叉和变异操作，结合模拟退火算法，该算法能够有效地提高收敛速度，避免早熟收敛。同时在遗传算法操作过程中，给出了泵排量的处理方法，使排量约束得到满足，系统水量保持平衡。算例说明了该方法的有效性。

The optimized operation of water injection system based on dual coding genetic algorithm

A mathematical model of the optimized operation of water injection system is established, in which the minimum electric power consumption is taken as objective function. In order to find the optimized operational scheme and displacement, dual coding is adopted in genetic algorithm. Aiming at the limitation of genetic algorithm, the fitness function is adjusted, the cross and mutation method are improved, simulated annealing algorithm is combined with, and it can improve the speed of convergence and avoid premature convergence. A processing method of displacement is proposed, so the displacement restriction is satisfied, and water balance is kept. Example shows that the algorithm is efficient.