TY - JOUR
TI - A fractional-order genetic algorithm for parameter optimization of the moisture movement in a bio-retention system
AU - Yang Xiao-Hua
AU - Liu Tong
AU - Li Yu-Qi
JN - Thermal Science
PY - 2019
VL - 23
IS - 4
SP - 2343
EP - 2350
PT - Article
AB - A bio-retention system is an important measure for non-point source pollution  control. In order to improve the calculation precision for parameter  optimization of the moisture movement in a bio-retention system, a  real-encoded genetic algorithm based on the fractional-order operation is  proposed, in which initial populations are generated by random mapping, and  the searching range is automatically renewed with the excellent individuals  by fractional-order particle swarm optimization operation. Its efficiency is  verified experimentally. The results indicate that the absolute error by  the fractional-order operation decreases by 67.73%, 62.23%, and 4.16%, and  the relative error decreases by 42.88%, 35.76%, and 6.77%, respectively,  compared to those by the standard binary-encoded genetic algorithm, random  algorithm, and the particle swarm optimization algorithm. The  fractional-order operation has higher precision and it is good for the  practical parameter optimization in ecological environment systems.