基于遗传算法的组合优化用于斯里兰卡古鲁迪尼亚服务区水分布网络的最优设计
Genetic Algorithm Based Combinatorial Optimization for the Optimal Design of Water Distribution Network of Gurudeniya Service Zone, Sri Lanka
AI总结：
本文提出基于遗传算法的组合优化方法，用于斯里兰卡古鲁迪尼亚服务区水分布网络的最优设计，证明了GA在该问题中的有效性。
摘要：
本文详细介绍了基于遗传算法（GA）的组合优化方法，用于斯里兰卡古鲁迪尼亚服务区水分布网络（WDN）的最优设计。遗传算法（GA）模仿自然中适者生存的原则，以开发搜索过程。方法学采用模糊组合的管道直径来检查其作为成本效益最优设计方案的适用性。此外，水力约束在GA本身中隐式评估，以达到全局最优解。分析结果表明，该方法的输出设计结果令人满意。此外，将先前受蜜蜂 mating 优化（HBMO）算法启发的研究结果与GA方法获得的结果进行比较，证明了GA在古鲁迪尼亚服务区水分布网络最优设计中的竞争力。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
