THERMAL SCIENCE

International Scientific Journal

Xiao-Hua Yang

,

Yu-Qi Li

,

Kai-Wen Wang

,

Bo-Yang Sun

,

Yi Ye

,

Mei-Shui Li

IMPROVED GRAY-ENCODED EVOLUTION ALGORITHM BASED ON CHAOS CLUSTER FOR PARAMETER OPTIMIZATION OF MOISTURE MOVEMENT

ABSTRACT
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 (IGEACC) 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 IGEACC 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 (SBEA), and the particle swarm optimization algorithm (PSOA). IGEACC has higher precision and it is good for the global optimization in the practical parameter optimization in environment system.
KEYWORDS
parameter optimization, gray-encoded evolution algorithm, Van Genuchten model, precision, moisture movement
PAPER SUBMITTED: 2016-05-29
PAPER REVISED: 2016-09-01
PAPER ACCEPTED: 2016-10-25
PUBLISHED ONLINE: 2017-09-09
DOI REFERENCE: https://doi.org/10.2298/TSCI160529038Y
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2017, VOLUME 21, ISSUE Issue 4, PAGES [1581 - 1585]
REFERENCES
  1. Dong, Z. H., et al., Modified Frequency Computation Method for Optimal Environmental Flow, Ther-mal Science, 16 (2012), 5, pp. 1539-1543
  2. He, J.-H., et al., The Inversion of Soil Moisture by the Thermal Infrared Data, Thermal Science, 17 (2013), 5, pp. 1375-1381
  3. Yang, X. H., et al., Vulnerability of Assessing Water Resources Based on the Improved Set Pair Analy-sis, Thermal Science, 18 (2014), 5, pp. 1531-1535
  4. Liu, X., et al., A New Method to Estimate the Parameters of Van Genuchten Retention Model Using Degree of Phosphorus Saturation (DPS), African J. Agric. Res, 6 (2011), 20, pp. 4800-4806
  5. Yang, X. H., et al., Chaos Gray-Coded Genetic Algorithm and Its Application for Pollution Source Iden-tifications in Convection-Diffusion Equation, Communications in Nonlinear Science and Numerical Simulation, 8 (2008), 8, pp. 1676-1688
  6. May, R. M., Simple Mathematical Models with very Complicated Dynamics, Nature, 261 (1976), 5560, pp. 459-467
  7. Mackey, M., et al., Oscillations and Chaos in Physiological Control Systems, Science, 197 (1977), July, pp. 287-289
  8. Van Genuchten, M. Tb., A Closed-Form Equation for Predicting the Hydraulic Conductivity of Un-satureted Soils, Soil Science Society of America Journal, 44 (1980), Sept.-Oct., pp. 892-898
  9. Yang, X. H., et al., Chaotic Bayesian Method Based on Multiple Criteria Decision Making (MCDM) for Forecasting Nonlinear Hydrological Time Series, International Journal of Nonlinear Sciences and Nu-merical Simulation, 10 (2009), 11-12, pp. 1595-1610
  10. Yang, X. H., et al., GHHAGA for Environmental Systems Optimization, Journal of Environmental In-formatics, 5 (2005), 1, pp. 36-41
  11. Yang, X. H., et al., Refined Gray-Encoded Evolution Algorithm for Parameter Optimization in Convec-tion-Diffusion Equations, International Journal of Numerical Methods for Heat and Fluid Flow, 24 (2014), 6, pp. 1275-1289
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Improved gray-encoded evolution algorithm based on chaos cluster for parameter optimization of moisture movement

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence