Quantum Whale Optimization Algorithm Optimized Improved GM(1,1) Prediction Model

Shixian Huang

doi:10.47297/taposatWSP2633-456936.20260708

PDF
Export
Share
Collection
Album

Quantum Whale Optimization Algorithm Optimized Improved GM(1,1) Prediction Model

Volume 7, Issue 8

Views: 0 Downloads: 0

Quantum Whale Optimization Algorithm Optimized Improved GM(1,1) Prediction Model
Quantum Whale Optimization Algorithm Optimized Improved GM(1,1) Prediction Model
School of Modern Information Industry, Guangzhou College of Commerce, Guangzhou, Guangdong, 511363, China
Vol. 7, Issue 8, Pages: 186-190(2026)
Published：30 August 2026
DOI：10.47297/taposatWSP2633-456936.20260708
Accepted：

Scan QR Code

Huang Shixian.Quantum Whale Optimization Algorithm Optimized Improved GM(1,1) Prediction Model[J].Theory and Practice of Science and Technology,2026,07(08):186-190.
DOI：

Huang Shixian.Quantum Whale Optimization Algorithm Optimized Improved GM(1,1) Prediction Model[J].Theory and Practice of Science and Technology,2026,07(08):186-190. DOI： 10.47297/taposatWSP2633-456936.20260708.

摘要

Abstract

The grey system theory and its classical GM(1

1) model have been widely applied

yet often suffer from low accuracy due to poor data smoothness and improper background value construction. To address these issues

this paper proposes a Quantum Whale Optimization Algorithm (QWOA) to optimize the improved GM(1

1) model

establishing the QWOA-EFGM(1

1) framework. The model employs an exponential function to enhance data smoothness (EFGM(1

1))

and incorporates quantum encoding and rotation gates into the whale algorithm to optimize background weights. Validation through a case study on elbow pipe wall thickness prediction demonstrates that the proposed model outperforms traditional GM(1

1) and EFGM(1

1) models in effectiveness

accuracy

and stability.

关键词

Keywords

references

Deng J L. Grey control system[J]. Journal of Huazhong University of Science and Technology, 1982(03): 9-18.

Gao J F, Hao B. Corrosion prediction of submarine pipelines based on improved grey model[J]. China Water Transport (Second Half), 2021, 21(09): 48-50.

Wu Y, Zhang D Q, Xu N. Application of initial value optimization of reverse grey model in road settlement[J]. Surveying and Mapping Engineering, 2014, 23(12): 60-62.

Lu J, Li F. Optimization and application of GM(1,1) model based on initial value and background value improvement[J]. Operations Research and Management Science, 2020, 29(09): 27-33.

Yang N, Li H S, Yuan J Y, Li S Y, Wang X. Medium and long-term load grey prediction method considering grey relational degree analysis[J]. Journal of Electric Power Systems and Automation, 2018, 30(06): 108-114.

Fan X H, Miao Q M, Wang H M. Grey prediction GM(1,1) model and its improvement and application[J]. Journal of Armored Force Engineering Institute, 2003(02): 24-26.

Yue X, Yang Y. Optimization and application of GM(1,1) model based on minimum error[J]. Application Research of Computers, 2016, 33(08): 2328-2330.

Liu X, Xie N. A nonlinear grey forecasting model with double shape parameters and its application[J]. Applied Mathematics and Computation, 2019, 360: 203-212.

Lin Y N. Application research of grey theory in foundation pit deformation prediction[J]. Silicon Valley, 2014, 7(02): 97-80.

Yin X, Huang Y, Li K Q, Wang X N, Song S D. Grey dynamic model for corrosion prediction based on particle swarm optimization algorithm[J]. Corrosion and Protection, 2020, 41(01): 18-22.

Li X. Research on multi-universe parallel quantum multi-objective evolutionary algorithm and its application[D]. Hunan University, 2009.

Wang Z F, Wang Y, Liu X H. Corrosion prediction of atmospheric distillation unit based on grey system theory[J]. Journal of China University of Petroleum (Natural Science Edition), 2010, 34(02): 114-118.