Name
Title | ||
|---|---|---|
Study on the improvement of the genetic algorithm for prediction of coal and gas outburst risk |
Abstract | ||
|---|---|---|
AbstractCoal and gas outburst is a very complex phenomenon of dynamic disaster in coal mine, where exists a complex non-linear mapping relationship which could not be described with functions between outburst risk and its influential factors. In this paper, from operator theory, the choice of initial parameters is optimised, and genetic algorithm is improved. Mathematical model of coal and gas outburst risk prediction is established, and the improved genetic algorithm was applied to the risk prediction model. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1504/IJAMC.2016.080978 | Periodicals |
Field | DocType | Volume |
Mathematical optimization,Computer science,Coal mining,Computer network,Fitness function,Coal,Operator theory,Genetic algorithm,Penalty method | Journal | 6 |
Issue | ISSN | Citations |
2/3/4 | 1462-4613 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ji Nan | 1 | 0 | 0.34 |
| Yamian Peng | 2 | 8 | 4.22 |
| Xinchun Wang | 3 | 0 | 1.01 |