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.
Institutions
- 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)
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
Funders
- 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