基于记忆梯度混合遗传算法的灌区水资源优化配置

Optimization the allocation of irrigated areas water resources based on memory gradient hybrid genetic algorithm

摘要: 针对灌区水资源优化配置模型中目标函数高度非线性的特点，该文提出基于记忆梯度混合遗传算法用于灌区水资源优化配置，并提出了有条件的随机生成的初始种群生成方式来处理线性约束条件的策略。实例研究表明算法用于灌区水资源优化配置比基本遗传算法计算精度有了明显提高。

Abstract: Abstract: Irrigation water resource allocation model is highly nonlinear programming model, for the reason a hybrid genetic algorithm based on memory gradient which is used in irrigation water resource allocation is introduced. For the much linear constraints, a stochastic generated method under certain conditions for original population is developed. Case study show that the algorithm and the handle strategy of constraints are superior to the simple genetic algorithm in irrigation water resource optimization allocation application.