基于改进遗传算法的注水系统运行参数优化

以注水系统耗电量最小为目标函数、排量、压力等限制为约束条件，建立了注水系统参数优化数学模型，并用外部惩罚函数法将该问题转化为无约束问题。针对遗传算法的局限性，采用浮点数编码，调整了适应函数，改进了交叉和变异操作，实施了最优保留策略，并结合模拟退火算法，从而形成了改进遗传算法。该算法能够有效地提高收敛速度，避免早熟收敛。算例说明，该优化方法有效、实用。

Optimization of operation parameters in waterflooding system based on improved genetic algorithm

An optimization model of operation parameters is established, in which the least power consumption is taken as objective function, the restrictions to the displacement, pressure are taken as constraint conditions. Through the outer penalty function method, the problem is transformed to nonrestraint optimization problem. Aiming at the limitation of genetic algorithm, float coding is adopted, the fitness function is adjusted, the cross and mutation method are improved, the optimized reserved strategy is used, and simulated annealing algorithm is combined with, then the improved genetic algorithm is formed. It can improve the speed of convergence and avoid premature convergence. Results show that the algorithm is efficient and practical.