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Volumn 89, Issue , 2014, Pages 95-102

Sequential multi-objective evolutionary algorithm for a real-world water distribution system design

Author keywords

Cost; Leakage; Sequential multi objective; Water distribution system

Indexed keywords

ALGORITHMS; COSTS; EVOLUTIONARY ALGORITHMS; LEAKAGE (FLUID); MULTIOBJECTIVE OPTIMIZATION; OPTIMAL SYSTEMS; OPTIMIZATION; SYSTEMS ANALYSIS; TANKS (CONTAINERS); WATER SUPPLY SYSTEMS;

EID: 84949122004     PISSN: None     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2014.11.164     Document Type: Conference Paper
Times cited : (6)

References (10)
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  • 4
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    • Kapelan, Z.S.1    Savic, D.A.2    Walters, G.A.3
  • 5
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    • Pressure-driven demand and leakage simulation for water distribution networks
    • O. Giustolisi, D.A. Savic, Z.S. Kapelan, Pressure-driven demand and leakage simulation for water distribution networks, J. Hydraulic Engineering 134(5) (2008) 626-635.
    • (2008) J. Hydraulic Engineering , vol.134 , Issue.5 , pp. 626-635
    • Giustolisi, O.1    Savic, D.A.2    Kapelan, Z.S.3
  • 6
    • 84896084827 scopus 로고    scopus 로고
    • Optimal design of water distribution systems using many-objective visual analytics
    • G. Fu, Z. Kapelan, J.R. Kasprzyk, P. Reed, Optimal design of water distribution systems using many-objective visual analytics, J. Water Resources Planning and Management, 139(6) (2012) 624-633.
    • (2012) J. Water Resources Planning and Management , vol.139 , Issue.6 , pp. 624-633
    • Fu, G.1    Kapelan, Z.2    Kasprzyk, J.R.3    Reed, P.4
  • 7
    • 84860796742 scopus 로고    scopus 로고
    • Reducing the complexity of multiobjective water distribution system optimization through global sensitivity analysis
    • G. Fu, Z. Kapelan, P. Reed, Reducing the Complexity of Multiobjective Water Distribution System Optimization through Global Sensitivity Analysis. J. Water Resources Planning and Management 138(3) (2011) 196-207.
    • (2011) J. Water Resources Planning and Management , vol.138 , Issue.3 , pp. 196-207
    • Fu, G.1    Kapelan, Z.2    Reed, P.3
  • 8
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: Nsga-II
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    • K. Deb, A. Pratap, S. Agarwal, T.A.M.T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II. Evolutionary Computation, IEEE Transactions on 6(2) (2002) 182-197.
    • (2002) Evolutionary Computation , vol.6 , Issue.2 , pp. 182-197
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  • 9
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    • United States Environmental Protection Agency
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.