Optimal designed experiments using a Pareto front search for focused preference of multiple objectives

DOI10.1016/J.CSDA.2013.04.008zbMath1471.62126OpenAlexW2094007662MaRDI QIDQ1621405

Lu Lu, Christine M. Anderson-Cook, Dennis K. J. Lin

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.04.008

zbMATH Keywords

computational efficiencybeta distributionmultiple criteria optimizationfocused Pareto front searchprioritization of criteria

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Multi-objective and goal programming (90C29)

Related Items (4)

Special issue on algorithms for design of experiments ⋮ Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives ⋮ Hybrid flow shop with unrelated machines, setup time, and work in progress buffers for bi-objective optimization of tortilla manufacturing ⋮ Impact of response variability on Pareto front optimization

Cites Work

• Evolutionary Algorithms for Solving Multi-Objective Problems
• Unnamed Item
• Unnamed Item

This page was built for publication: Optimal designed experiments using a Pareto front search for focused preference of multiple objectives