首页> 外文会议> >Optimization Research of the Beneficiation Capability Based on the Particle Swarm Optimization
【24h】

Optimization Research of the Beneficiation Capability Based on the Particle Swarm Optimization

机译:基于粒子群算法的选矿能力优化研究

获取原文

摘要

According to the complexity and nonlinear character of the beneficiation capability optimization in the concentrator, Mathematics models of the beneficiation capability optimization were built based on particle swarm optimization algorithm. The optimization problem which was restricted by many factors such as ore supply capability, beneficiation capability, tailings reservoir had been solved successfully in a mine, and the results were accorded with the practical engineering. It will be of benefit to scheme the resources in reason, optimize beneficiation capability and increase the economy benefit. And also demonstrated that it is feasible of using the particle swarm optimization to solve the problem of beneficiation capability optimization.
机译:根据选矿厂选矿能力优化的复杂性和非线性特征,建立了基于粒子群算法的选矿能力优化数学模型。该成功解决了矿山供矿能力,选矿能力,尾矿库等诸多因素的优化问题,其结果与实际工程相吻合。合理地计划资源,优化选矿能力并增加经济效益将是有益的。并且证明了使用粒子群算法解决选矿能力优化问题是可行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号