The present work explores the qualitative and quantitative comparative analysis of nine recently developed meta-heuristic algorithms for the optimization of water pump switching problem. Heat transfer search algorithm, Water wave optimization, Ant lion optimizer, Symbiotic organisms search algorithm, Artificial Bee Colony algorithm, Cuckoo search algorithm, Passing vehicle search, Biogeography based optimization, and Sine–cosine algorithm are considered in the present work. A statistical analysis of the results are carried out to identify the statistical significant between the results of comparative algorithms. The effect of various constraint handling techniques on the performance of the algorithms are also identify and presented. A set of the alternative solutions for the minimum energy requirement are obtained for the best algorithm and presented. The solutions for the different number of pump in operation for best performing algorithm are also obtained and presented. Finally, the convergence of the considered algorithm in obtaining the minimum energy solutions are presented and discussed.

本工作探索了九种最近开发的用于优化水泵切换问题的元启发式算法的定性和定量比较分析。本文研究了传热搜索算法，水波优化，蚁群优化器，共生生物搜索算法，人工蜂群算法，布谷鸟搜索算法，过往车辆搜索，基于生物地理的优化以及正弦余弦算法。对结果进行统计分析，以确定比较算法的结果之间的统计显着性。各种约束处理技术对算法性能的影响也得到了识别和展示。为获得最佳算法，给出了一组针对最小能量需求的替代解决方案并进行了介绍。还获得并提出了针对最佳性能算法的不同数量的泵的解决方案。最后，介绍并讨论了在考虑最小能量解时所考虑算法的收敛性。