Multiobjective optimization using an adaptive weighting scheme

DOI10.1080/10556788.2015.1048861zbMath1381.90080OpenAlexW1604956359MaRDI QIDQ2811485

Shubhangi Deshpande, Robert A. Canfield, Layne T. Watson

Publication date: 10 June 2016

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10919/24903

zbMATH Keywords

triangulationDIRECTmultiple objective programmingMADSsurrogates

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29)

Related Items (1)

On the use of polynomial models in multiobjective directional direct search

Cites Work

• Lipschitzian optimization without the Lipschitz constant
• Optimality of the Delaunay triangulation in \(\mathbb{R}^ d\)
• Delaunay refinement algorithms for triangular mesh generation
• Dynamic data structures for a direct search algorithm
• A mesh adaptive direct search algorithm for multiobjective optimization
• Algorithm 905
• Traditional and Hybrid Derivative-Free Optimization Approaches for Black Box Functions
• Adaptive Scalarization Methods in Multiobjective Optimization
• Multiobjective Optimization Through a Series of Single-Objective Formulations
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
• Mesh Adaptive Direct Search Algorithms for Constrained Optimization

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