摘要
针对煤矿生产物流系统安全资源配置问题,在构建基于安全风险及安全成本的安全资源指标体系基础上,运用回归分析法拟合了安全风险与安全成本目标函数,并构建了煤矿生产物流系统安全资源配置多目标优化模型,采用自适应进化粒子群算法对该模型进行优化求解。实例结果表明,采用自适应进化粒子群算法能够得出满足煤矿生产物流系统安全资源配置多目标优化要求的不同可行解。
For safety resource allocation of coal mine production logistics system,regression analysis method was used to fit an objective function of safety risk and cost on the basis of constructing safety resource index system of safety risk and cost.A multi-objective optimization model of safety resource allocation of coal mine production logistics system was constructed and adaptive evolutionary particle swarm algorithm was used to solve the optimization model.The example analysis result shows that the adaptive evolutionary particle swarm optimization algorithm can obtain different feasible solutions which satisfy multi-objective optimization requirements of safety resource allocation of coal mine production logistics system.
出处
《工矿自动化》
北大核心
2017年第5期13-18,共6页
Journal Of Mine Automation
基金
国家自然科学基金资助项目(71271194)
关键词
煤矿生产物流系统
安全资源配置
多目标优化
自适应进化粒子群算法
coal mine production logistics system
safety resource allocation
multi-objective optimization
adaptive evolutionary particle swarm optimization