A multi-objective optimization using distribution characteristics of reference data for reverse engineering
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Publication:3018041
DOI10.1002/nme.3029zbMath1217.74093OpenAlexW2124978864MaRDI QIDQ3018041
Publication date: 20 July 2011
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nme.3029
multi-objective optimizationreverse engineeringMahalanobis distanceMahalanobis Taguchi systemskewed Mahalanobis distance
Uses Software
Cites Work
- Survey of multi-objective optimization methods for engineering
- Nonlinear multiobjective optimization
- Augmented Lagrangian and Tchebycheff approaches in multiple objective programming
- Generating well-distributed sets of Pareto points for engineering design using physical programming
- On scalarizing functions in multiobjective optimization
- Physical programming - Effective optimization for computational design
- An interactive weighted Tchebycheff procedure for multiple objective programming
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