Introduction to Ant Colony Algorithm and Its Application in CIMS

Ant colony algorithm is a novel simulated ecosystem e volutionary algorithm, which is proposed firstly by Italian scholars M.Dorigo, A . Colormi and V. Maniezzo. Enlightened by the process of ants searching for food , scholars bring forward this new evolutionary algorithm. This algorithm has sev eral characteristics such as positive feedback, distributed computing and stro nger robustness. Positive feedback and distributed computing make it easier to find better solutions. Based on these characteristics...     

Isolation and purification of BVⅠ-2H from bee venom and analysis of its biological action

The medical use of bee venom for rheumatoid arthritis ( RA ) has a very long tradition. In this study, isolation and purification of polypeptides from bee venom were carried out on sephadex chromatography, heparin sepharose CL-6B chromatography and HPLC. Several fractions were extracted, and their effects on activation of splenocyte and THP-1 cell were studied. The inhibitory fraction was selected for further studies. Finally, BVⅠ-2H that the HPLC elution profiles was a single peak was isolated by C8 column. ESI- MS detection results showed that BVⅠ-2H was a fraction of bee venom, and the molecular weight of the major component was 644.8. BVⅠ-2H could inhibit ConA-induced splenocyte proliferation, IL-1 production and interfere with splenocyte cycle in mice. Moreover, BVⅠ-2H could inhibit PMA-induced TNFα production in THP-1 cells, which was due to its inhibitory effects on TNFα mRNA expression and protein phosphorylation of IκBα. Our studies indicated that BVⅠ-2H was one of the anti-inflammatory components of bee venom.     

PRM蚁群融合算法的AGV路径规划研究

针对AGV运货时需一次性取多件货物的路径规划问题,提出一种PRM算法与蚁群算法相结合的融合算法,将问题拆分为路径的选择与TSP问题分布解决,即先利用PRM算法进行AGV路径规划,再利用蚁群算法决策出取货顺序,生成总的路径。最后采用matlab进行仿真实验,并与A*算法进行对比,结果证明了PRM蚁群融合算法比A*算法得出的路径更短、效率更高。     

多态蚁群算法

在分析现有蚁群算法不足的基础上，提出一种新的含多种蚁群、多种信息激素的多态蚁群算法．该算法通过引入不同种类的蚁群，每一蚁群有不同的信息素调控机制，将局域搜索与全局搜索相结合，使搜索、收敛速度大幅度提高．针对TSP问题的仿真实验结果表明了该算法的有效性．     

蚂蚁算法在公交查询最短路径求法中的应用

公交乘客出行路径选择是公交乘客信息系统的关键技术 ,提出以换乘次数最少为首要目标、出行距离最短为第二目标的算法 ,本算法是基于广度优先搜索并结合蚂蚁算法提出公交路线最短路径选择的新算法     

中华眼镜蛇毒神经生长因子的研究

采用ＣＭ－ＳｅｐｈａｒｏｓｅＣＬ－６Ｂ和ＳｅｐｈｏｓｉｌＣ８以及ＨＰＬＣ层析方法，自广西产中华眼镜蛇毒中分离纯化神经生长因子（ＮＧＦ），此ＮＧＦ经８ｄ鸡胚背根神经节体外培养证明具有促进神经纤维生长的活性。经ＨＰＬＣ及聚丙烯酰胺凝胶电泳鉴定为单一组成，经ＳＤＳＰＡＧＥ及ＨＰＬＣ测定分子量分别为２４．１ＫＤ和２４．９ＫＤ，等电聚焦电泳测得ｐＩ为８．２，氨基酸组分分析表明ＮＧＦ含酸性氨基酸较少，通过１２５｜标记ＮＧＦ测定出ＮＧＦ在生物体内主要分布于肾、肺、及周围神经     

Ad Hoc网络中基于模拟退火-蚁群算法的QoS路由发现方法

针对Ad Hoc网络的动态网络环境和链路、节点性能限制等不利因素，提出了一种新的QoS路由发现方法——SAANT．该方法利用蚁群算法增加了发现可用QoS路由的概率，利用基于概率的路由转发策略来减少洪泛造成的网络开销，从而强化所提算法的全局搜索能力和自适应性，减小了洪泛对Ad Hoc网络性能的影响．所提方法还利用模拟退火算法调整路由发现算法的搜索方向，以弥补蚂蚁算法收敛速度上的弱点，减少了搜索过程中的停滞现象．在包投递成功率、平均包延迟和吞吐量等方面，通过仿真实验对SAANT、仅基于蚁群算法的QoS路由算法和传统的按需路由算法的方法进行了性能比较，结果表明，在Ad Hoc网络环境下，SAANT的收敛速度、移动性能和网络负载性能均表现出更好的适应性．     

改进型蚁群算法在Job Shop问题中的应用

应用改进型蚁群算法解决车间作业调度问题。在原有标准蚁群算法的基础上采用了新的状态转移规则,讨论了各种不同的轨迹更新规则对仿真结果的影响,并通过统计数据验证了改进型蚁群算法优于标准的蚁群优化算法。由于算法中的参数对算法的求解效率和求解结果都有一定的影响,所以对此也进行了初步的研究,得到了运行较好的参数取值范围。