Particle Swarm Algorithm Based on the Open Road Optimization Research
In order to optimize the transportation of open - pit mine system, enhance the transport efficiency, reduce the energy consumption and accelerate the process of reproduction, the system is optimized through the introduction of particle swarm algorithm, also its advantages and disadvantages is analyzed under the basis of introducing its basic principle, mathematical model and realization process.As the standard particle swarm algorithm is easy to fall into local optimal dilemma, the perturbation method is introduced into the basic particle swarm algorithm, raising to join random initialization factors optimization algorithm in the standard particle swarm algorithm, which not only makes the algorithm to guarantee convergence speed but also has strong global search ability.The open pit mine road network model is founded to define transport road network composition, node selection and network edge weights, also through the establishment of improved particle swarm optimization algorithm to make sure the optimum path between any two points, and then to choose reasonable transportation path provided reference for the surface mine.
particle swarm algorithm network model path optimization
Qi Chuanyin Song Ziling
College of Mining,Liaoning Technical University,Fuxin,123000,China
国际会议
the 4th International Symposium on Mine Safety (2012) 第四届国际矿山安全学术研讨会(2012)
阜新
英文
369-372
2012-08-04（万方平台首次上网日期，不代表论文的发表时间）