Improved chaos-genetic algorithm optimization method on back analysis of earth temperature field in coal mine

Author

Wang, Shi-Dong

Author_Institution

Xi´´an Branch, CCRI, Xi´´an, China

Volume

1

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

82

Lastpage

85

Abstract

Aiming at complexity of hydrogeological conditions of coal mine, this paper brought forward the improved chaos-genetic optimization method based on the chaos optimization method and genetic algorithm method. Using the optimization method, this paper have carried out the back analysis of earth temperature field of coal mine, then predicted the earth temperature field using the parameters of the back analysis, which provided a scientific basis for control of heat-harm. Through engineering example, the result showed that the improved chaos and genetic optimization method on the back analysis of earth temperature field in coal mine was feasible.

Keywords

coal; finite element analysis; genetic algorithms; geology; Improved chaos-genetic algorithm optimization method; back analysis; coal mine; earth temperature field; Adaptation model; Biological system modeling; Finite element methods; Heat engines; Heating; Temperature measurement; FEM; back analysis; earth temperature field; genetic algorithm method;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658718

Filename

5658718