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：本文提出一种基于遗传算法的详细组合优化方法，用于斯里兰卡古鲁德尼亚服务区配水管网的最优设计。遗传算法通过模拟自然界"适者生存"原则构建搜索过程。该方法采用管径的模糊组合方案，检验其作为成本效益最优设计方案的可行性。同时，遗传算法在寻求全局最优解的过程中隐式评估了水力约束条件。分析表明，该方法的输出结果提供了令人满意的设计方案。此外，与前期基于蜂群交配优化算法所得结果的对比验证了遗传算法在斯里兰卡古鲁德尼亚服务区配水管网优化设计中的有效性。