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0032858697
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1642517041
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Development of an enhanced multi-objective robust genetic algorithm for groundwater remediation design under uncertainty
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Published in the. Philadelphia, PA, June 23-26, 2003
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Beckford, O.M., A.B. Chan Hilton, and X. Liu (2003). Development of an Enhanced Multi-objective Robust Genetic Algorithm for Groundwater Remediation Design Under Uncertainty. Published in the Proceedings of the ASCE 2003 World Water and Environmental Resources Congress. Philadelphia, PA, June 23-26, 2003.
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Proceedings of the ASCE 2003 World Water and Environmental Resources Congress
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Beckford, O.M.1
Hilton, A.B.C.2
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3
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0242468340
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Optimization of natural attenuation with active remediation under uncertainty using genetic algorithms
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Chan Hilton, A.B. and S. Iyer (2003). Optimization of Natural Attenuation with Active Remediation Under Uncertainty Using Genetic Algorithms. Published in the Proceedings of the ASCE 2003 World Water and Environmental Resources Congress. Philadelphia, PA, June 23-26, 2003, 179-191.
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Proceedings of the ASCE 2003 World Water and Environmental Resources Congress
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Chan Hilton, A.B.1
Iyer, S.2
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5
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33645193959
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Groundwater remediation design under uncertainty using a robust genetic algorithm
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accepted, 2003
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Chan Hilton, A.B. and T.B. Culver (2003). Groundwater remediation design under uncertainty using a robust genetic algorithm. J. of Water Resources Planning and Mangt, accepted, 2003.
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7
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Applied Mathematics and Computation
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Chen, J.D.1
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Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration
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Cheng, C.T.1
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9
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0033986272
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Quantitative estimates of the uncertainty in the evaluation of groundwater remediation schemes
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Copty, N.K.1
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10
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0003757131
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Numerical modeling of in situ bioremediation with sorption kinetics
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TCN95-066, Waterways Experiment, Vicksburg, MS
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11
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0036145232
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Multi-objective optimal design of groundwater remediation systems: Application of the niched Pareto genetic algorithm (NPGA)
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Sensitivity analysis of optimal groundwater contaminant capture curves: Spatial variability and robust solutions
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National Water Well Association, Denver, CO
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A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system
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Marseguerra, M., E. Zio, and L. Podofillini (2003). A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system. Reliability Engineering and System Safety. In press, corrected proof, Available online: September 3, 2003.
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Marseguerra, M.1
Zio, E.2
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15
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0036704663
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Optimal design for problems involving flow and transport phenomena in saturated subsurface systems
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Mayer A., C.T. Kelley, and C.T. Miller (2002). Optimal design for problems involving flow and transport phenomena in saturated subsurface systems. Adv. in Water Resources, 25, 1233-1256.
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Mayer, A.1
Kelley, C.T.2
Miller, C.T.3
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0033237191
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A stochastic optimization approach in the design of an aquifer remediation under hydrogeologic uncertainty
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Water Resources Management
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Myopoulos, Y.A.1
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Smalley, J.B.1
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19
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0041427756
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Path planning in construction sites:' performance evaluation of the Dijkstra, A*, and GA search algorithms
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Evaluating data worth for ground-water management under uncertainty
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The development and application of a multilevel decision analysis model for the remediation of contaminated groundwater under uncertainty
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Multi-objective optimization in radiotherapy: Applications to stereotactic radiosurgery and prostate brachytherapy
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Yan, Y., J.B. Zhang, G. Cheng, M.C. Schell, and Paul Okunieff (2000). Multi-objective optimization in radiotherapy: applications to stereotactic radiosurgery and prostate brachytherapy. Artificial Intelligence in Medicine, 19, (1), 39-51.
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0037290045
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Economic evaluation of private power production under uncertainties
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February 2003
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Xing, W. and F. Wu (2003). Economic evaluation of private power production under uncertainties. International Journal of Electrical Power and Energy Systems, 25 (2), February 2003, 167-172.
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International Journal of Electrical Power and Energy Systems
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Xing, W.1
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Zhao, R. and B. Liu (2003). Redundancy optimization problems with uncertainty of combining randomness and fuzziness. European Journal of Operational Research, In press, corrected proof, Available online: August 27, 2003.
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European Journal of Operational Research
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Zhao, R.1
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