In this paper, an optimal water distribution network (WDN) model was developed. An existing metaheuristic algorithms, known as the particle swarm optimization (PSO) algorithm was applied on the model to obtain the optimal cost of water distribution. A modified form of PSO called the enhanced heuristic swarm intelligence (EHSI) algorithm was also constructed and used to solve the model. Three case studies were treated. Results obtained show that PSO and EHSI algorithms minimize the total cost of water distribution network using the designed model and the EHSI algorithm performs better than PSO algorithm. present a detailed comparison of result of PSO and HSI algorithm.