What is it about?

In the present study a multi-objective ant colony optimization (MOACO) model is originally developed, using layer classification technique, to deal with multi-objective optimization of WDNs under both steady-state and transient considerations. The model is verified through its application on the well known New York City tunnel network. Then, it has been applied on a real WDN in New Cairo district designed in steady-state condition to minimize both the additional design cost and SDPF.

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Why is it important?

The results of the application can help decision-makers to select and evaluate the trade off between pipe capacity and SDPF for different times of transient actions.


Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also lead to solve the problem of optimal rehabilitation of water distribution networks for both steady and transient state is investigated.

Dr. Hamdy Ahmed El-Ghandour
Mansoura University

Read the Original

This page is a summary of: Optimal transient network rehabilitation using multi-objective ant colony optimization algorithm, Urban Water Journal, August 2018, Taylor & Francis,
DOI: 10.1080/1573062x.2018.1534127.
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