摘要
针对化学实验室无纸化资源配置问题,建立了数学模型和优化模型。提出了实验室过滤子集和课程过滤子集的概念,提出了优化模型中的预处理规则;提出了最小距离约束、资源最优均衡约束和最少等待时间约束的概念,提出了优化模型中的最优化规则。基于预处理规则、最优化规则和改进的粒子群算法提出了资源优化配置算法。仿真实验证明,该算法在进行资源优化配置时是快速和高效的。
In view of chemical laboratory non-paper resource allocation problem, mathematical model and optimization model were set up. The concepts of laboratory colation subset and curriculum colation subset were proposed, preprocessing rule in the optimization model was also given. The concepts of minimum distance constraint, resource optimal equilibrium constraint and minimal waiting time constraint were proposed, optimal rule in the optimization model was given too. Based on preprocessing rule, optimal rule and improved particle swarm optimization algorithm, resource optimization allocation algorithm was brought forward. Simulation experiment on this algorithm showed that it was fast and efficient.
出处
《科技通报》
北大核心
2014年第1期134-137,共4页
Bulletin of Science and Technology
基金
2012年黑龙江省高等教育综合改革试点专项项目(JGZ201201296)
2012年黑龙江省高等教育教学改革项目(JG2012010687)
2012年齐齐哈尔大学教育科学研究重点项目(2012118)
黑龙江省教育厅学位与研究生教育面上项目(1153xy0024)
关键词
化学实验室资源
优化配置
优化模型
最优化规则
粒子群算法
chemical laboratory non-paper resource
optimization allocation
optimization model
optimal rule
particle swarm optimization algorithm
