Efficient Metamodel Approach to Handling Constraints in Nonlinear Optimization for Drought Management

Author:

Zhao Tingting1,Minsker Barbara2

Affiliation:

1. Applied Scientist, Microsoft Corporate, One Microsoft Way, Redmond, WA 98052 (corresponding author).

2. Professor and Department Chair, Dept. of Civil and Environmental Engineering, Southern Methodist Univ., Dallas, TX 75275.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Reference45 articles.

1. Robust optimization of water infrastructure planning under deep uncertainty using metamodels

2. Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks

3. Breiman, L., J. Friedman, C. J. Stone, and R. A. Olshen. 1984. Classification and regression trees. Boca Raton, FL: CRC Press.

4. Submodel selection and evaluation in regression. The X-random case;Breiman L.;Int. Stat. Rev./Rev. Int. Statistique,1992

5. Strategic Planning for Drought Mitigation under Climate Change

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