Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas-Reference-Cited by-同舟云学术

Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas

Published:2018-05 Issue:5 Volume:144 Page:04018020
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Brentan Bruno¹,Campbell Enrique²,Goulart Thaisa³,Manzi Daniel³,Meirelles Gustavo³,Herrera Manuel⁴,Izquierdo Joaquín⁵,Luvizotto Edevar⁶

Affiliation:

1. Computational Hydraulic Laboratory, Univ. of Campinas, Campinas 54500, Brazil (corresponding author).

2. Berliner Wasserbetriebe, Amtsgericht Charlottenburg, HRA 30951 B, Berlin 10864, Germany.

3. Computational Hydraulic Laboratory, Univ. of Campinas, Campinas 13083-889, Brazil.

4. Dept. of Energy and Design of Environments, Univ. of Bath, Bath BA2 7AY, U.K.

5. FluIng-Instituto de Matemática Multidisciplinar, Universitat Politècnica de València, Valencia 13083-889, Spain.

6. Computational Hydraulic Laboratory, Univ. of Campinas, Campinas 46022, Brazil.

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%29WR.1943-5452.0000924

Reference30 articles.

1. Alhimiary H. A. and Alsuhaily R. H. (2006). “Minimizing leakage rates in water distribution networks through optimal valves settings.” Proc. World Environmental and Water Resources Congress 2007 ASCE Reston VA 1–13.

2. Brentan B. M. Campbell E. Meirelles G. L. Luvizotto E. and Izquierdo J. (2017). “Social network community detection for DMA creation: Criteria analysis through multilevel optimization.” Mathematical Problems in Engineering Hindawi Cairo Egypt.

3. A Novel Water Supply Network Sectorization Methodology Based on a Complete Economic Analysis, Including Uncertainties

4. Finding community structure in very large networks

5. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art

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