article Open Access
The modified balanced confounded design algorithm for constructing n-point d-optimal global designs
International Journal of Statistics and Applied Mathematics · 2018 · Vol. 3(2) · pp. 326–330
Abstract
The Balanced Confounded Design Algorithm (BCDA) for constructing N-point D-optimal designs was used in constructing a32, 2 x 32 and a 32 N-point D-optimal response surface designs. When the results were inspected, it was observed that in all, the global optimum could be located faster if all or more support points from G1 are taken. Hence, a modification of the BCDA is proposed. The result of this work has shown that the Modified Balanced Confounded Design Algorithm (MBCDA) is superior in efficiency to the traditional BCDA.
Advanced Multi-Objective Optimization AlgorithmsOptimal Experimental Design MethodsManufacturing Process and OptimizationOptimal designPoint (geometry)AlgorithmMathematicsMathematical optimizationStatisticsGeometry
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
30%
vs. same field & year
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.