基于粒子群算法的水稻用水的优化配置

Optimal Allocation of Rice Water Based on PSO

本文旨在实现水稻用水资源的优化配置.早稻、一季稻和晚稻等不同类型水稻的用水,以及同一类型的水稻在不同的生长阶段,均存在着用水优化配置的问题.粒子群优化算法比较容易操作,在计算方面具有效率和精度高的优点,可以应用于水稻用水的优化配置模型的求解.以衡阳县高炉村的水稻用水优化配置为具体算例,验证了算法的可行性.

This article aimed to achieve the optimal allocation of rice water resources. The optimal allocation of rice wa- ter not only exists in different types of rice such as early rice, season rice and late rice, but also exists in different growth stages of the same type. Particle swarm optimization has the advantages of high efficiency and precision in the calculation and is relatively easy to operate, so it was applied to the optimal allocation of rice water model solution. The specific example of optimal allocation of rice water in GaoLu village of HengYang verifies the feasibility of the algorithm.