Optimization of Water Distribution Network: A Comparison using Genetic Algorithm and Particle Swarm Optimization

Abstract

In this paper the authors compare two optimization techniques, namely the Genetic Algorithm and the Particle Swarm Optimization for water distribution networks. The effectiveness of the two algorithms is tested on two benchmark water distribution networks namely, the New York City water supply tunnel system and the Hanoi water distribution network and a comparison of the two techniques is presented. Furthermore the two algorithms are applied to two local water distribution networks in Mauritius which is very old and no such study has been done before on these data. This study will be beneficial to the government for decision making more specific for water management of the island following the severe drought problems during the last three years.