Abstract:
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.
