Mine Airflow Optimizing Control Based on Harmony Annealing Search
Mine fire not only brings about great loss of coal resources and damage the whole mining system, but also causes the massive personnel casualty. Based on the air distribution request of the mine ventilation network, solves airflow quantitative optimizing control to the mine ventilation system networks nonlinear programming mathematical model using harmony annealing search, fuses the dynamic perturbation and the simulated annealing to improve the original harmony search algorithm, new harmony annealing search algorithm enhances the convergent speed, has overcome certain limitations of the traditional ventilation network optimizing control algorithm, obtains ventilation systems globally optimal solution, has provided a scientific and reliable basis to develop disaster prevention and processing.
mine ventilation harmony search optimization control nonlinear programming simulated annealing
Jinxue Sui Li Yang Hui Fan Zhen Hua Jinxue Sui Li Yang
School of Information and Electronic Engineering Shandong Institute of Business and Technology Yanta Department of Control Engineering Naval Aeronautical Engineering University Yantai, China
国际会议
西安
英文
875-878
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）