机构:
Agcy Tox Subst & Dis Registry, Atlanta, GA 30333 USAGeorgia Inst Technol, Sch Civil & Environm Engn, Multimedia Environm Simulat Lab, Atlanta, GA 30332 USA
Maslia, Morris L.
[2
]
机构:
[1] Georgia Inst Technol, Sch Civil & Environm Engn, Multimedia Environm Simulat Lab, Atlanta, GA 30332 USA
[2] Agcy Tox Subst & Dis Registry, Atlanta, GA 30333 USA
来源:
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE
|
2010年
/
136卷
/
01期
关键词:
Water distribution system;
Optimization;
Genetic algorithms;
Water sensor networks;
DETECTING ACCIDENTAL CONTAMINATIONS;
GENETIC ALGORITHM;
OPTIMIZATION;
IDENTIFICATION;
AQUIFERS;
D O I:
10.1061/(ASCE)WR.1943-5452.0000001
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
In this study we provide a methodology for the optimal design of water sensor placement in water distribution networks. The optimization algorithm used is based on a simulation-optimization and a single-objective function approach which incorporates multiple factors used in the design of the system. In this sense the proposed model mimics a multiobjective approach and yields the final design without explicitly specifying a preference among the multiple objectives of the problem. A reliability constraint concept is also introduced into the optimization model such that the minimum number of sensors and their optimal placement can be identified in order to satisfy a prespecified reliability criterion for the network. Progressive genetic algorithm approach is used for the solution of the model. The algorithm works on a subset of the complete set of junctions present in the system and the final solution is obtained through the evolution of subdomain sets. The proposed algorithm is applied to the two test networks to assess the selected design, The results of the proposed solution are discussed comparatively with the outcome of other solutions that were submitted to a water distribution systems analysis symposium. These comparisons indicate that the algorithm proposed here is an effective approach in solving this problem.
机构:
Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R ChinaHarbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China
Liang, Liang
Yi, Haiqiong
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机构:
State Grid Econ & Technol Res Inst Co Ltd, Dept Transmiss Planning, Beijing 102209, Peoples R ChinaHarbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China
Yi, Haiqiong
Hou, Yunhe
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机构:
Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
Univ Hong Kong, Shenzhen Inst Res & Innovat, Shenzhen 518057, Peoples R ChinaHarbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China
Hou, Yunhe
Hill, David John
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机构:
Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R ChinaHarbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China