版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Stellenbosch Univ Dept Civil Engn Private Bag X1 ZA-7602 Matieland South Africa Univ Leipzig Dept Math & Comp Sci Postfach 10 09 20 D-04009 Leipzig Germany
出 版 物:《JOURNAL OF THE SOUTH AFRICAN INSTITUTION OF CIVIL ENGINEERING》 (J S Afr Inst Civ Eng)
年 卷 期:2018年第60卷第3期
页 面:2-15页
核心收录:
主 题:gravity sewer network ant colony optimisation tree-growing algorithm layout optimisation graph theory
摘 要:The optimal design of sewer networks typically comprises two sub-problems. The first is to determine an optimal layout of the network elements, and the second to optimally design the network components. In this article the focus is on the optimisation of gravity sewer network layouts, which requires simultaneous optimisation of hydraulic design. The layout is optimised using ant colony algorithms with four proposed node and edge-based selection strategies, while a heuristic optimisation algorithm is used for the hydraulic optimisation. The resulting simultaneous optimisation algorithm is shown to perform very well. The selection strategies are shown to be effective, but no clear best strategy is identified, as the performance of the layout algorithms is shown to depend heavily on characteristics of the network under consideration. However, some strategies are shown to perform inconsistently and worse than others on average.