A hybrid elitist Pareto-based coordinate exchange algorithm for constructing multi-criteria optimal experimental designs

DOI10.1007/s11222-016-9630-9zbMath1505.62088OpenAlexW2257565153MaRDI QIDQ518250

Byran J. Smucker, Yongtao Cao, Timothy J. Robinson

Publication date: 28 March 2017

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-016-9630-9

zbMATH Keywords

Pareto fronthybrid algorithmmulti-criteria optimal experimental design

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

An algorithmic framework for generating optimal two-stratum experimental designs

Uses Software

• R
• NBI
• GA
• hitandrun

Cites Work

• Unnamed Item
• Unnamed Item
• A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments
• Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm
• On using the hypervolume indicator to compare Pareto fronts: applications to multi-criteria optimal experimental design
• Hybrid evolutionary algorithms.
• Comparison of designs for computer experiments
• Optimum Designs in Regression Problems
• Optimum Designs in Regression Problems, II
• A Comparison of Algorithms for Constructing Exact D-Optimal Designs
• The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs