This paper brings an in detail Genetic Algorithm (GA) based combinatorial optimization method used for the optimal design of the water distribution network (WDN) of Gurudeniya Service Zone, Sri Lanka. Genetic Algorithm (GA) mimics the survival of the fittest principle of nature to develop a search process. Methodology employs fuzzy combinations of pipe diameters to check their suitability to be considered as the cost effective optimal design solutions. Furthermore, the hydraulic constraints were implicitly evaluated within the GA itself in its aim to reaching the global optimum solution. Upon analysis, the results of this approach delivered agreeable design outputs. In addition, the comparison made between the results obtained by a previous study inspired by the Honey Bee Mating Optimization (HBMO) Algorithm and results obtained by the GA based approach, proves competency of GA for the optimal design of water distribution network in Gurudeniya Service Zone, Sri Lanka.
翻译:本文详细介绍了一种基于遗传算法(GA)的组合优化方法,用于优化设计斯里兰卡Gurudeniya服务区的水配管网(WDN)。 遗传算法(GA)模仿自然的优胜劣汰原则来开发搜索过程。该方法采用模糊组合来检查管道直径是否适合考虑作为低成本最优设计解的条件。此外,在GA本身目标达到全局最优解时,隐含地评估了液压约束条件。经过分析,该方法的结果产生了令人满意的设计输出。此外,将Honey Bee Mating Optimization(HBMO)算法 Inspired的以前研究所产生的结果与遗传算法优化方法所产生的结果进行比较,证明了GA对于斯里兰卡Gurudeniya服务区水分配网络的优化设计具有竞争力。