改进粒子群算法在水库防洪调度中的应用Applications of Improved Particle Swarm Optimization in Optimal Operation of Flood Control of Reservoir

 改进粒子群算法在水库防洪调度中的应用[EB/OL]

北京：中国科技论文在线

本文提出了一种新的改进粒子群算法

但是标准粒子群算法也存在着一些缺点

接着本文又使用新算法对给出的水库防洪调度模型进行求解

粒子群算法是一种基于群智能的全局优化算法

粒子群算法

） 摘要： 水库防洪优化调度问题主要是研究水库调度决策的问题

新算法在收敛速度和精度上都有很好的效果

副教授 【收录情况】 中国科技论文在线： 吴戈

but there are still many defects need to be improved and complete

Particle Swarm Optimization(PSO) is a overall optimization algorithm based on swarm intelligence

Because it's simple and practical, it has been used extensively and got great development

But there are also some disadvantages in the standard PSO, in response to these shortcomings, the paper propose a new improved PSO(IPSO), the new algorithm is better than the old in computing speed and convergence

Then the paper use the new algorithm to solve the given model of the optimal operation of flood control of reservoir

?Results prove the feasibility and superiority of the new algorithm

Keywords： Flood Control; Particle Swarm Optimization;Disturbance Term;Convergence Factor 下载PDF阅读器 PDF全文下载： 初稿 （ 110 ） 作者简介： 吴戈, （1986-）