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Volumn , Issue , 2004, Pages 1962-1971

A dynamic meta-model approach to genetic algorithm solution of a risk-based groundwater remediation design model

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; FLOW MODELS; GROUNDWATER REMEDIATION; OPTIMAL SOLUTIONS; RISK INFORMATION;

EID: 23844477221     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (12)
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    • Aly, A.H.1    Peralta, R.C.2
  • 3
    • 0032052897 scopus 로고    scopus 로고
    • Optimizing separate phase light hydrocarbon recovery from contaminated unconfined aquifers
    • Cooper, G., R. C. Peralta, and J. J. Kaluarachchi, Optimizing separate phase light hydrocarbon recovery from contaminated unconfined aquifers, Adv. Water Resour., 21(5), 339-350, 1998
    • (1998) Adv. Water Resour. , vol.21 , Issue.5 , pp. 339-350
    • Cooper, G.1    Peralta, R.C.2    Kaluarachchi, J.J.3
  • 4
    • 0026277997 scopus 로고
    • Optimal groundwater management 1. Simulated annealing
    • Dougherty, D.E., and R.A. Marryott, Optimal groundwater management 1. Simulated Annealing, Water Resour. Res., 27(10), 2493-2508, 1991.
    • (1991) Water Resour. Res. , vol.27 , Issue.10 , pp. 2493-2508
    • Dougherty, D.E.1    Marryott, R.A.2
  • 5
    • 0000615669 scopus 로고
    • Function minimization by conjugate gradients
    • Fletcher, R. and C. M. Reeves, Function minimization by conjugate gradients, Comp. J. 7-149, 1964.
    • (1964) Comp. J. , vol.7 , Issue.149
    • Fletcher, R.1    Reeves, C.M.2
  • 6
    • 33645208719 scopus 로고    scopus 로고
    • Optimal sampling in a noisy genetic algorithm for risk based remediation design
    • Gopalakrishnan, G., B. S. Minsker, and D. Goldberg, Optimal sampling in a noisy genetic algorithm for risk based remediation design, J. of Hydroinformatics, 2003.
    • (2003) J. of Hydroinformatics
    • Gopalakrishnan, G.1    Minsker, B.S.2    Goldberg, D.3
  • 7
    • 0036808455 scopus 로고    scopus 로고
    • A framework for evolutionary optimization with approximate fitness functions
    • Jin, Yaochu, Markus Olhofer, and Bernhard Sendhoff, A Framework for Evolutionary Optimization With Approximate Fitness Functions, IEEE Transactions on Evolutionary Computation, 6(5), 481-494, 2002
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.5 , pp. 481-494
    • Jin, Y.1    Olhofer, M.2    Sendhoff, B.3
  • 8
    • 33748654439 scopus 로고    scopus 로고
    • Improving performances of the genetic algorithm by caching
    • Kratica, J, Improving performances of the genetic algorithm by caching, Computers and Artificial Intelligence, 18(3):271-283., 1999.
    • (1999) Computers and Artificial Intelligence , vol.18 , Issue.3 , pp. 271-283
    • Kratica, J.1
  • 9
    • 0034515584 scopus 로고    scopus 로고
    • Designing a competent simple genetic algorithm for search and optimization
    • Reed., P. M., B. S. Minsker, and D. E. Goldberg., Designing a Competent Simple Genetic Algorithm for Search and Optimization, Water Resour. Res., 36(12), 3757-3761, 2000.
    • (2000) Water Resour. Res. , vol.36 , Issue.12 , pp. 3757-3761
    • Reed, P.M.1    Minsker, B.S.2    Goldberg, D.E.3
  • 10
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    • Optimal field-scale groundwater remediation using neural networks and the genetic algorithm
    • Rogers, Leah L., Farid U. Dowla, and Virginia M. Johnson, Optimal Field-Scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm, Environ. Sci. Technol. 29, 1145-1155, 1995
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    • Rogers, L.L.1    Dowla, F.U.2    Johnson, V.M.3
  • 12
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    • Risk-based in situ bioremediation design using genetic algorithm
    • Smalley, J. Bryan, Barbara S. Minsker, and David E. Goldberg, Risk-based in situ bioremediation design using genetic algorithm, Water Resour. Res., 36(10), 3043-3051, 2000
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.