首页|Hybrid genetic algorithm for the optimization of mine ventilation network

Hybrid genetic algorithm for the optimization of mine ventilation network

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
Used genetic algorithm (GA) to optimize the network of ventilation in order to avoid artificial convergence and speed up the convergence rate to introduce the Powell algorithm. The Powell algorithm had been integrated into GA. Powell had the effective capacity of solving the local optimal solution. Powell and the cross as a method of choice, a variation of the parallel operator, can be a better solution to the premature convergence of the GA problem. The two methods will be improved to make it an effec-tive combination of hybrid GA called hybrid genetic algorithm (HGA) for the introduction of mine ventilation network optimization and to be used to solve the problem of regulat-ing mine optimization.

hybridgenetic algorithm(GA)Powell algorithmventilation net-work optimiza-tion

ZHAO Dan、LIU Jian、PAN Jing-tao、MA Heng

展开 >

College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China

Shenyang Research Institute, China Coal Research Institute, Fushnn 110016, China

国家自然科学基金

60772159

2009

10.1007s12404-009-0409-x

中国煤炭(英文版)
煤炭信息院

中国煤炭(英文版)

ISSN：1006-5318
年,卷(期)：2009.15(4)
  • 1