摘要
采用自适应粒子群算法(APSO)对水库优化调度问题进行了研究。建立了问题的数学模型,提出了该算法的工程实现方法,编制了基于Matlab语言的优化计算程序。三插溪水库的仿真实例表明:APSO算法较PSO算法的收敛性能更好,APSO算法在搜索晚期具有更强的局部搜索能力,更容易找到最优解。与遗传算法相比,APSO算法采用的参数少,实现简单,收敛结果更优。可见,APSO算法在水库优化调度问题上的求解是可行有效的。
APSO （adaptive particle swarm optimization） algorithm is applied to reservoir operation optimization. The mathematic model is established, and realization method of APSO algorithm is presented, and optimization calculation program based on Matlab language is compiled. The solution of calculation example shows that APSO algorithm is more precise and convergent than PSO algorithm, and APSO algorithm has better local search abihty and finds the high- quality solution easily. Compared with GA （generic algorithm）, APSO algorithm requires concise parameters, and its solution is precise, so APSO algorithm is indeed efficient and reliable for optimization operation of reservoir.
出处
《台州学院学报》
2007年第3期44-48,共5页
Journal of Taizhou University
基金
浙江省自然科学基金项目(Y505360)
