针对可重入制造系统多具有多品种、大规模、混流生产等特点,构建带批处理机的可重入混合流水车间调度问题(reentrant hybrid flow shop scheduling problem with batch processors,BPRHFSP)模型,提出一种改进的多目标蜉蝣算法(multi-obj...针对可重入制造系统多具有多品种、大规模、混流生产等特点,构建带批处理机的可重入混合流水车间调度问题(reentrant hybrid flow shop scheduling problem with batch processors,BPRHFSP)模型,提出一种改进的多目标蜉蝣算法(multi-objective mayfly algorithm,MOMA)进行求解。提出了单件加工阶段和批处理阶段的解码规则;设计了基于Logistic混沌映射的反向学习初始化策略、改进的蜉蝣交配和变异策略,提高了算法初始解的质量和局部搜索能力;根据编码规则设计了基于变邻域下降搜索的蜉蝣运动策略,优化了种群方向。通过对不同规模大量测试算例的仿真实验,验证了MOMA相比传统算法求解BP-RHFSP更具有效性和优越性。所提出的模型能够反映生产的基础特征,达到减少最大完工时间、机器负载和碳排放的目的。展开更多
An automated flow-batch analyzer(FBA) based on spectrophotometry was developed for the determination of nitrite(NO2-) in environmental waters. The FBA consists of a homemade flow cell, light source, detector and a min...An automated flow-batch analyzer(FBA) based on spectrophotometry was developed for the determination of nitrite(NO2-) in environmental waters. The FBA consists of a homemade flow cell, light source, detector and a mini-syringe pump, which was controlled by self-designed software written in Lab VIEW. Two LEDs and a light-to-voltage converter were used as the light source and detector respectively. The chemical detection method was based on spectrophotometry and modified Griess reaction. With the optimized conditions, the limit of detection(LOD) was 0.018 μmol·L^-1 and the relative standard deviations(RSDs) at different concentrations(0-12 μmol·L^-1) were 0.54%-3.63%(n=3). Measurements of different aqueous samples(n=21) showed no significant difference between results obtained by developed FBA and a commercial spectrophotometer.展开更多
基金supported by the Guangxi Natural Science Foundation(No.2018GXNSFAA281231)the MEL Visiting Fellowship Program(No.MELRS1715)the Innovation Project of GUET Graduate Education(No.2018YJCX69)
文摘An automated flow-batch analyzer(FBA) based on spectrophotometry was developed for the determination of nitrite(NO2-) in environmental waters. The FBA consists of a homemade flow cell, light source, detector and a mini-syringe pump, which was controlled by self-designed software written in Lab VIEW. Two LEDs and a light-to-voltage converter were used as the light source and detector respectively. The chemical detection method was based on spectrophotometry and modified Griess reaction. With the optimized conditions, the limit of detection(LOD) was 0.018 μmol·L^-1 and the relative standard deviations(RSDs) at different concentrations(0-12 μmol·L^-1) were 0.54%-3.63%(n=3). Measurements of different aqueous samples(n=21) showed no significant difference between results obtained by developed FBA and a commercial spectrophotometer.
