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粒子群算法在水电站优化调度中的应用 被引量:20

Application of particles swarm optimization technique to optimal operation of hydropower station
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摘要 粒子群优化算法是一种全局随机优化算法[1]。用于水电站优化调度,与经典算法比较其特点在于,该算法原理简单,易编程实现,占用计算机内存少,能以较快的速度收敛到全局最优解,是一种有效的搜索算法。 Particls swarm optimization(PSO) algorithm is a stochastic global optimization method. Compared with the traditional optimal algorithms, this method is simple, easy to be programed, and finds the global optimum quickly when it is used in optimal operation of hydropower station. The PSO is an effective optimal algorithm with less computer memory.
出处 《水力发电学报》 EI CSCD 北大核心 2006年第5期5-7,45,共4页 Journal of Hydroelectric Engineering
基金 国家自然科学基金重点项目(50539140)
关键词 优化调度 最优解 粒子群优化算法 水电站 optimal opeation optimal solution PSO hydropower station
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