水库防洪优化调度自适应拟态物理学算法

发布时间：2018-12-08 12:35

【摘要】：拟态物理学算法(APO)是近年来一种新颖的基于物理定律启发的智能算法,本文提出了利用智能算法求解水库防洪优化调度模型的通用启发式策略,阐述了拟态物理学算法的基本原理,尝试通过自适应方式合理设置算法的引力参数,同时改善标准算法的寻优进程,提出了自适应拟态物理学算法(AAPO)。将其应用于鲇鱼山水库实时防洪优化调度模型求解,采用最优值的均值和方差衡量算法的精度和稳定性,并对水库最优出流方案分段采用波动率衡量算法应用可操作性,同时统计计算机耗时,结果表明:自适应拟态物理学算法较标准算法搜索精度更高,寻优结果更稳定;且拟态物理学算法较其他算法计算的水库泄流方案的过程线波动变化更小,实时防洪调度应用可操作性较高。
[Abstract]:The pseudo physics algorithm (APO) is a novel intelligent algorithm based on the law of physics in recent years. This paper presents a general heuristic strategy for solving the reservoir flood control optimal operation model by using the intelligent algorithm. This paper expounds the basic principle of the pseudo physics algorithm, tries to reasonably set the gravitational parameters of the algorithm through the adaptive method, and at the same time improves the optimization process of the standard algorithm, and puts forward the adaptive pseudo physics algorithm (AAPO). It is applied to solve the real-time optimal flood control operation model of Juyushan reservoir. The mean and variance of the optimal value are used to measure the accuracy and stability of the algorithm, and the volatility measurement algorithm is applied to the optimal flow scheme of the reservoir. At the same time, the statistical computer time-consuming, the results show that the adaptive pseudo-physical algorithm is more accurate than the standard algorithm, the optimization results are more stable; Compared with other algorithms, the pseudo physical algorithm has less variation of the process line fluctuation of the reservoir discharge scheme, and the real-time flood control operation can be operated more easily.
【作者单位】：河海大学水文水资源学院;南京水利科学研究院;水资源高效利用与工程安全国家工程研究中心;
【基金】：国家自然科学基金(51179044;51579068)
【分类号】：TV697.11

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