Buffer influences the performance of production lines greatly.To solve the buffer allocation problem(BAP) in serial production lines with unreliable machines effectively,an optimization method is proposed based on an ...Buffer influences the performance of production lines greatly.To solve the buffer allocation problem(BAP) in serial production lines with unreliable machines effectively,an optimization method is proposed based on an improved ant colony optimization(IACO) algorithm.Firstly,a problem domain describing buffer allocation is structured.Then a mathematical programming model is established with an objective of maximizing throughput rate of the production line.On the basis of the descriptions mentioned above,combining with a two-opt strategy and an acceptance probability rule,an IACO algorithm is built to solve the BAP.Finally,the simulation experiments are designed to evaluate the proposed algorithm.The results indicate that the IACO algorithm is valid and practical.展开更多
Anoectochilus chapaensis Gagnep. （Orchidaceae） was named as the ＂king of medicine＂ because of its excellent efficacy for the treatment of diabetes. However, the bioactive constituents are unknown. An ethanol extra...Anoectochilus chapaensis Gagnep. （Orchidaceae） was named as the ＂king of medicine＂ because of its excellent efficacy for the treatment of diabetes. However, the bioactive constituents are unknown. An ethanol extract from A. chapaensis showed significant stimulating effect on glucose consumption in HepG2 cells. The chemical composition was investigated by UPLC-MS/MS in negative electrospray ionization （ESI） mode, and 63 compounds including flavonoids, triterpenoids, and aliphatic acids were tentatively identified by accurate mass and characteristic fragments. Moreover, the method of hypoglycemic screening with insulin resistant HepG2 cells and UPLC-MS/MS might be potentially useful in rapid and efficient characterization and primary prediction of natural products prior to traditional isolation.展开更多
基金Supported by the National Natural Science Foundation of China(No.61273035,71471135)
文摘Buffer influences the performance of production lines greatly.To solve the buffer allocation problem(BAP) in serial production lines with unreliable machines effectively,an optimization method is proposed based on an improved ant colony optimization(IACO) algorithm.Firstly,a problem domain describing buffer allocation is structured.Then a mathematical programming model is established with an objective of maximizing throughput rate of the production line.On the basis of the descriptions mentioned above,combining with a two-opt strategy and an acceptance probability rule,an IACO algorithm is built to solve the BAP.Finally,the simulation experiments are designed to evaluate the proposed algorithm.The results indicate that the IACO algorithm is valid and practical.
基金Pearl River Nova Program of Guangzhou 2015(Grant No.201506010061)Foundation for Distinguished Young Teachers in Higher Education of Guangdong(Grant No.YQ2015097)National Natural Science Foundation of China(Grant No.81001628)
文摘Anoectochilus chapaensis Gagnep. （Orchidaceae） was named as the ＂king of medicine＂ because of its excellent efficacy for the treatment of diabetes. However, the bioactive constituents are unknown. An ethanol extract from A. chapaensis showed significant stimulating effect on glucose consumption in HepG2 cells. The chemical composition was investigated by UPLC-MS/MS in negative electrospray ionization （ESI） mode, and 63 compounds including flavonoids, triterpenoids, and aliphatic acids were tentatively identified by accurate mass and characteristic fragments. Moreover, the method of hypoglycemic screening with insulin resistant HepG2 cells and UPLC-MS/MS might be potentially useful in rapid and efficient characterization and primary prediction of natural products prior to traditional isolation.
