Construction of Space-Filling Asymmetrical Marginally Coupled Designs

Marginally coupled designs (MCDs) are very suitable for computer experiments with both qualitative and quantitative factors. An MCD consisting of two subdesigns-one for the qualitative factors and the other for the quantitative factors-is said to be symmetrical or asymmetrical when the qualitative factor subdesign is equal-level or mixed-level, respectively. Although symmetrical MCDs have been studied extensively recently, investigations of asymmetrical MCDs are still relatively scarce. In this paper, based on space-filling symmetrical MCDs or space-filling Latin hypercube designs (LHDs), we propose four approaches to constructing a series of space-filling asymmetrical MCDs. The obtained asymmetrical MCDs can inherit the low-dimensional space-filling properties of these symmetrical MCDs or these LHDs. Moreover, the resulting asymmetrical MCDs are flexible in terms of their run sizes. A numerical study is conducted to compare and evaluate the performance of the proposed designs in computer experiments.

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Publication Details

Journal
Entropy
Published
2025-12-13
DOI
https://doi.org/10.3390/e27121256
Primary Topic
Advanced Multi-Objective Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Construction of Space-Filling Asymmetrical Marginally Coupled Designs

Entropy
Advanced Multi-Objective Optimization Algorithms
article

Construction of Space-Filling Asymmetrical Marginally Coupled Designs

article en

Abstract

Marginally coupled designs (MCDs) are very suitable for computer experiments with both qualitative and quantitative factors. An MCD consisting of two subdesigns-one for the qualitative factors and the other for the quantitative factors-is said to be symmetrical or asymmetrical when the qualitative factor subdesign is equal-level or mixed-level, respectively. Although symmetrical MCDs have been studied extensively recently, investigations of asymmetrical MCDs are still relatively scarce. In this paper, based on space-filling symmetrical MCDs or space-filling Latin hypercube designs (LHDs), we propose four approaches to constructing a series of space-filling asymmetrical MCDs. The obtained asymmetrical MCDs can inherit the low-dimensional space-filling properties of these symmetrical MCDs or these LHDs. Moreover, the resulting asymmetrical MCDs are flexible in terms of their run sizes. A numerical study is conducted to compare and evaluate the performance of the proposed designs in computer experiments.

EntropyVol. 27(12)
Qingdao University (CN), Tianjin University of Finance and Economics (CN), Beijing Academy of Artificial Intelligence (CN), Guangxi Academy of Sciences (CN), Guilin University of Electronic Technology (CN)
National Natural Science Foundation of China, Guilin University of Electronic Technology, Natural Science Foundation of Shandong Province, National Office for Philosophy and Social Sciences, Division of Graduate Education
Openalex Percentile: Top 30%
Advanced Multi-Objective Optimization Algorithms
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Construction of Space-Filling Asymmetrical Marginally Coupled Designs · Entropy (2025) | TGRS Research Map | TGRS