首页> 外文期刊>SN Applied Sciences >Application in optimization of multi‑reservoir water systems using improving shuffled complex algorithm
【24h】

Application in optimization of multi‑reservoir water systems using improving shuffled complex algorithm

机译:改进混洗算法在多水库水系统优化中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

Multi-reservoir systems exploitation is known as one of the most important problems in optimizing water resources.The present study aims to improve the differential evolution (DE) algorithm, promoting the contraction performanceand reflection operators, by merging in the shuffled complex evolutionary (SCE). In order to use the SCE algorithm forcomplex water resource problems, SCE-DE algorithm was developed as well. The performed algorithm was evaluated bysolving a difficult mathematical function problem using SCE and SCE-DE methods as a benchmark. The results illustratethat SCE-DE method represents a higher speed in converging to the optimum response and is closer to the absoluteoptimum. Moreover, the mentioned algorithms were performed for solving the optimization problems of multi-reservoirsystems, and the obtained results were compared with the LP absolute response. The obtained data represent a differenceof 0.009% between the response of objective function in the SCE-DE method and the LP response. However, theresponse of objective function of SCE differs 1.84% from that of the LP. Comparing the present observations and theother studies, the proposed algorithm has revealed a much closer optimum response to the LP response. Therefore, werecommend SCE-DE for solving complex problem of water resources.
机译:在优化水资源方面,多水库系统开发被认为是最重要的问题之一。本研究旨在改进差分进化(DE)算法,提高压缩性能和反射运算符,通过合并改组的复杂进化(SCE)。为了使用SCE算法对于复杂的水资源问题,还开发了SCE-DE算法。所执行的算法通过以SCE和SCE-DE方法为基准解决难题的数学函数问题。结果说明SCE-DE方法在收敛到最佳响应时代表了更高的速度,并且更接近于绝对值最佳。此外,针对多水库优化问题进行了上述算法的求解。系统,并将获得的结果与LP绝对响应进行比较。获得的数据代表差异SCE-DE方法中目标函数的响应与LP响应之间的误差为0.009%。然而SCE目标函数的响应与LP的响应相差1.84%。比较目前的观察结果和在其他研究中,提出的算法揭示了与LP响应更接近的最佳响应。因此,我们建议使用SCE-DE解决复杂的水资源问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号