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Prediction of Wood Dyeing Formula Based on Improved Multi Expression Programming Algorithm
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Xue-mei GUAN, Wei ZHANG*, Qu-san YANG
Science Technology and Engineering | 2025, 25(7) : 2865 - 2873
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Science Technology and Engineering | 2025, 25(7): 2865-2873
• Papers·Civil, Handicraft and Living Services Industry •
Prediction of Wood Dyeing Formula Based on Improved Multi Expression Programming Algorithm
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Xue-mei GUAN, Wei ZHANG*, Qu-san YANG
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  • Northeast Forestry University, Haerbin 150000, China
Published: 2025-03-08 doi: 10.12404/j.issn.1671-1815.2402909
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Due to the increasing scarcity of precious woods and the severe environmental issues caused by overexploitation, it is necessary to mimic the appearance of precious woods by dyeing ordinary wood. Computer-assisted dyeing technology was utilized to achieve high-precision dyeing of ordinary wood, thus creating substitutes that resemble precious woods and reducing dependence on them. Initially, based on the concept of gene expression programming (GEP), a multi-expression programming (MEP) algorithm was proposed to predict dye ratios. Considering the complex interactions among various dyes, multi-gene expression was employed. The MEP algorithm can handle these complex interactions between multiple dyes, resulting in more intuitive functional expressions. To enhance the function mining accuracy of MEP, the probabilities of mutation and recombination operators ware adaptively adjusted, and parallel programming was employed to boost function mining efficiency. Compared to gene expression programming results, MEP delves deeper into functional relationships and achieves a relative deviation of 0.113 in color prediction.

wood staining  /  gene expression programming  /  multi-expression programming  /  computer color matching  /  genetic algorithms  /  spectral reflectance
Xue-mei GUAN, Wei ZHANG, Qu-san YANG. Prediction of Wood Dyeing Formula Based on Improved Multi Expression Programming Algorithm[J]. Science Technology and Engineering, 2025 , 25 (7) : 2865 -2873 . DOI: 10.12404/j.issn.1671-1815.2402909
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Year 2025 volume 25 Issue 7
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Article Info
doi: 10.12404/j.issn.1671-1815.2402909
  • Receive Date：2024-04-21
  • Online Date：2026-03-30
  • Published：2025-03-08
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  • Received：2024-04-21
  • Revised：2024-07-30
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    Northeast Forestry University, Haerbin 150000, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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