Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement
To improve computational precision for parameter optimization of the van Genuchten model in simulating moisture movement in environment protection, an improved gray-encoded evolution algorithm based on chaos cluster is proposed, in which an initial population is generated by chaotic mapping, and the...
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VINCA Institute of Nuclear Sciences
2017-01-01
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doaj-d5175b4269b34101bfb03793ca808e282021-01-02T00:34:50ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632017-01-012141581158510.2298/TSCI160529038Y0354-98361700038YImproved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movementYang Xiao-Hua0Li Yu-Qi1Wang Kai-Wen2Sun Bo-Yang3Ye Yi4Li Mei-Shui5Beijing Normal University, School of Environment, State Key Laboratory of Water Environment Simulation, Beijing, ChinaCollege of Architecture and Landscape Architecture, Peking University, Beijing, ChinaInstitute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences, Beijing , ChinaBeijing Normal University, School of Environment, State Key Laboratory of Water Environment Simulation, Beijing, ChinaBeijing Normal University, School of Environment, State Key Laboratory of Water Environment Simulation, Beijing, ChinaBeijing Normal University, School of Environment, State Key Laboratory of Water Environment Simulation, Beijing, ChinaTo improve computational precision for parameter optimization of the van Genuchten model in simulating moisture movement in environment protection, an improved gray-encoded evolution algorithm based on chaos cluster is proposed, in which an initial population is generated by chaotic mapping, and the searching range is automatically renewed with the excellent individuals by chaos cluster operation. Its efficiency is verified experimentally. The results indicate that the absolute error by the improved gray-encoded evolution algorithm based on chaos cluster decreases by 7.52% and 40.40%, respectively, and the relative error decreases by 12.65% and 49.95%, respectively, compared to those by the standard binary-encoded evolution algorithm, and the particle swarm optimization algorithm. Improved gray-encoded evolution algorithm based on chaos cluster has higher precision and it is good for the global optimization in the practical parameter optimization in environment system.http://www.doiserbia.nb.rs/img/doi/0354-9836/2017/0354-98361700038Y.pdfparameter optimizationgray-encoded evolution algorithmVan Genuchten modelprecisionmoisture movement |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yang Xiao-Hua Li Yu-Qi Wang Kai-Wen Sun Bo-Yang Ye Yi Li Mei-Shui |
spellingShingle |
Yang Xiao-Hua Li Yu-Qi Wang Kai-Wen Sun Bo-Yang Ye Yi Li Mei-Shui Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement Thermal Science parameter optimization gray-encoded evolution algorithm Van Genuchten model precision moisture movement |
author_facet |
Yang Xiao-Hua Li Yu-Qi Wang Kai-Wen Sun Bo-Yang Ye Yi Li Mei-Shui |
author_sort |
Yang Xiao-Hua |
title |
Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement |
title_short |
Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement |
title_full |
Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement |
title_fullStr |
Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement |
title_full_unstemmed |
Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement |
title_sort |
improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Thermal Science |
issn |
0354-9836 2334-7163 |
publishDate |
2017-01-01 |
description |
To improve computational precision for parameter optimization of the van Genuchten model in simulating moisture movement in environment protection, an improved gray-encoded evolution algorithm based on chaos cluster is proposed, in which an initial population is generated by chaotic mapping, and the searching range is automatically renewed with the excellent individuals by chaos cluster operation. Its efficiency is verified experimentally. The results indicate that the absolute error by the improved gray-encoded evolution algorithm based on chaos cluster decreases by 7.52% and 40.40%, respectively, and the relative error decreases by 12.65% and 49.95%, respectively, compared to those by the standard binary-encoded evolution algorithm, and the particle swarm optimization algorithm. Improved gray-encoded evolution algorithm based on chaos cluster has higher precision and it is good for the global optimization in the practical parameter optimization in environment system. |
topic |
parameter optimization gray-encoded evolution algorithm Van Genuchten model precision moisture movement |
url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2017/0354-98361700038Y.pdf |
work_keys_str_mv |
AT yangxiaohua improvedgrayencodedevolutionalgorithmbasedonchaosclusterforparameteroptimizationofmoisturemovement AT liyuqi improvedgrayencodedevolutionalgorithmbasedonchaosclusterforparameteroptimizationofmoisturemovement AT wangkaiwen improvedgrayencodedevolutionalgorithmbasedonchaosclusterforparameteroptimizationofmoisturemovement AT sunboyang improvedgrayencodedevolutionalgorithmbasedonchaosclusterforparameteroptimizationofmoisturemovement AT yeyi improvedgrayencodedevolutionalgorithmbasedonchaosclusterforparameteroptimizationofmoisturemovement AT limeishui improvedgrayencodedevolutionalgorithmbasedonchaosclusterforparameteroptimizationofmoisturemovement |
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1724363717351571456 |