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

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.