Prioritizing Pipe Replacement: From Multiobjective Genetic Algorithms to Operational Decision Support-Reference-Cited by-同舟云学术

Prioritizing Pipe Replacement: From Multiobjective Genetic Algorithms to Operational Decision Support

Published:2009-11 Issue:6 Volume:135 Page:484-492
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Giustolisi Orazio¹²,Berardi Luigi¹²

Affiliation:

1. Professor, Dean, Dept. of Civil and Environmental Engineering, II Engineering Faculty, Technical Univ. of Bari, via Turismo, 8, Taranto 74100, Italy.

2. Ph.D. Student, Dept. of Civil and Environmental Engineering, Technical Univ. of Bari, via Orabona, 4, Bari 70125, Italy (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9496%282009%29135%3A6%28484%29

Reference47 articles.

1. Alvisi S. and Franchini M. (2005). “Rehabilitation scheduling of water distribution systems based on multiobjective genetic algorithms.” Proc. Int. Conf. on Computer and Control in Water Industry (CCWI) Vol. 2 D. A. Savic ed. University of Exeter Exeter U.K. 51–56.

2. A new methodology for modelling break failure patterns in deteriorating water distribution systems: Theory

3. A new methodology for modelling break failure patterns in deteriorating water distribution systems: Applications

4. Berardi L. and Kapelan Z. (2007). “Multicase EPR strategy for the development of sewer failure performance indicators.” Proc. World Environmental and Water Resources Congress (CD-ROM) ASCE Reston Va.

5. Development of pipe deterioration models for water distribution systems using EPR

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