Hydrology: Current Research

Optimization of a Real Urban Water Network (Langarud City's Water Network) with the HBMO Algorithm

Abstract

Saman Sabbaghpour, Hamed Monsef, Mohammad Naghashzadegan, Kourosh Javaherdeh and Omid Bozorg Haddad

In developing countries, many of urban water networks are too old where most of them are not designed or expanded by engineering methods. Therefore, it is of high concerns to rebuild or relief them in a way that they can operate best. This will reduce the water loss and the costs of maintenance of the water network for a long time period. Use of evolutionary and meta-heuristic algorithms for optimization of water network is most popular nowadays. Methods such as Genetic Algorithm (GA) and Ant Colony Optimization (ACO) have been used frequently in the literatures. In this research, the new meta-heuristic evolutionary algorithm called Honey Bee Mating Optimization (HBMO) has been used so as to optimize the urban water network of a real town in north of Iran named Langarud. The purpose of this research was replacing adequate pipes for balancing the pressure level at the water network of Langarud city with the lowest cost. The result of optimization were compared with the present situation of network and showed a good effectiveness in the improvement of operational parameters.