Gradient-based multi-objective optimization with applications to waterflooding optimization

DOI10.1007/s10596-015-9523-6zbMath1392.86032OpenAlexW1685269037MaRDI QIDQ722864

Xin Liu, Albert C. Reynolds

Publication date: 27 July 2018

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-015-9523-6

zbMATH Keywords

Pareto frontproduction optimizationweighted sum algorithm

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Hydrology, hydrography, oceanography (86A05) Geostatistics (86A32) Potentials, prospecting (86A20)

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Uses Software

• NBI

Cites Work

• Nonlinear multiobjective optimization
• Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraints
• A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds
• Second-order necessary and sufficient conditions in multiobjective programming^∗
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
• Unnamed Item