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Volumn , Issue , 2009, Pages 472-482

A rapid optimization prototyping tool for spreadsheet-based models

Author keywords

[No Author keywords available]

Indexed keywords

C++ LIBRARIES; COMPLEX OPTIMIZATION; HYDRAULIC SOLVERS; MICROSOFT EXCEL; MULTIPLE-OBJECTIVE OPTIMIZATION; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; PROTOTYPING TOOLS; RAPID OPTIMIZATION; RAPID PROTOTYPING TOOL; WATER DISTRIBUTIONS;

EID: 69949083830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41024(340)41     Document Type: Conference Paper
Times cited : (6)

References (22)
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  • 2
    • 84901438927 scopus 로고    scopus 로고
    • MOPSO: a proposal for multiple objective particle swarm optimization
    • Coello, C. A. C., and Lechuga, M. S. "MOPSO: a proposal for multiple objective particle swarm optimization." Congres on Evolutionary Computation, 1051-1056.
    • Congres on Evolutionary Computation , pp. 1051-1056
    • Coello, C.A.C.1    Lechuga, M.S.2
  • 3
    • 0344993976 scopus 로고    scopus 로고
    • Water distribution network design optimization: simulated annealing approach
    • Cunha, M. D. C., and Sousa, J. (1999). "Water Distribution Network Design Optimization: Simulated Annealing Approach." Journal of Water Resources Planning and Management, 125(4), 215-221.
    • (1999) Journal of Water Resources Planning and Management , vol.125 , Issue.4 , pp. 215-221
    • Cunha, M.D.C.1    Sousa, J.2
  • 5
    • 34848886877 scopus 로고    scopus 로고
    • Omni-optimizer: a generic evolutionary algorithm for single and multi-objective optimization
    • Deb, K., and Tiwari, S. (2008). "Omni-Optimizer: A Generic Evolutionary Algorithm for Single and Multi-Objective Optimization." European Journal of Operational Research, 185(3), 1062-1087.
    • (2008) European Journal of Operational Research , vol.185 , Issue.3 , pp. 1062-1087
    • Deb, K.1    Tiwari, S.2
  • 6
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    • Optimization of water distribution network design using the shuffled frog leaping algorithm
    • Eusuff, M. M., and Lansey, K. E. (2003). "Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm." Journal of Water Resources Planning and Management, 129(3), 210-225.
    • (2003) Journal of Water Resources Planning and Management , vol.129 , Issue.3 , pp. 210-225
    • Eusuff, M.M.1    Lansey, K.E.2
  • 7
    • 0031864903 scopus 로고    scopus 로고
    • Reliability analysis of water distribution systems considering pressure dependency of outflows
    • Fujiwara, O., and Li, J. (1998). "Reliability analysis of water distribution systems considering pressure dependency of outflows." Water Resources Research, 34(7), 1843-1850.
    • (1998) Water Resources Research , vol.34 , Issue.7 , pp. 1843-1850
    • Fujiwara, O.1    Li, J.2
  • 10
    • 39549112078 scopus 로고    scopus 로고
    • Optimal design of water networks using a modified genetic algorithm with reduction in search space
    • Kadu, M. S., Gupta, R., and Bhave, P. R. (2008).Optimal Design of Water Networks Using a Modified Genetic Algorithm with Reduction in Search Space." Journal of Water Resources Planning and Management, 134(2), 147-160.
    • (2008) Journal of Water Resources Planning and Management , vol.134 , Issue.2 , pp. 147-160
    • Kadu, M.S.1    Gupta, R.2    Bhave, P.R.3
  • 11
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    • Approximating the non-dominated front using the pareto archived evolution strategy
    • Knowles, J. D., and Corne, D. W. (2000). "Approximating the Non-Dominated Front Using the Pareto Archived Evolution Strategy." Evolutionary Computation Journal, 8(2), 149-172.
    • (2000) Evolutionary Computation Journal , vol.8 , Issue.2 , pp. 149-172
    • Knowles, J.D.1    Corne, D.W.2
  • 12
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    • A framework for evolutionary optimization applications in water distribution systems
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    • Morley, M. S. (2008). "A Framework for Evolutionary Optimization Applications in Water Distribution Systems, " PhD Thesis, Centre for Water Systems, University of Exeter, Exeter, UK.
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    • Morley, M.S.1
  • 16
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    • Genetic algorithms for least-cost design of water distribution networks
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  • 22
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    • Multiobjective optimization using evolutionary algorithms-a comparative case study
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.