基于混合智能算法的非线性双边多属性谈判模型

在非线性效用函数基础上,运用混合人工智能技术,建立非线性双边多属性谈判模型,给出在一定精度范围内逼近Pareto最优解的近似求解方法.最后通过价格、质量两属性的非线性双边谈判模拟算例,验证了方法的正确性与有效性.为多属性谈判研究提供了新的思路.     

考虑机器调整次数和产品质量的卷烟批量计划和柔性流水车间调度集成问题

针对卷烟企业生产中的批量计划和柔性流水车间调度集成问题,构建了整数规划模型,目标函数由卷烟生产时间、生产线调整次数、卷烟质量、库存成本四部分组成。鉴于该问题的NP-hard性,设计遗传算法进行求解,通过合理设计遗传算子,避免不可行解出现。应用某卷烟企业数据得到优化排产结果,与该企业之前依照经验排产方案进行对比,发现优化排程结果在减少品牌转换次数,提高生产的连续性方面具有明显优势。该算法已作为某卷烟企业排产人员的排产参考,应用于排产决策中,取得了良好的效果,对卷烟企业制定排产计划具有一定的实际指导意义。     

Application of Genetic Algorithm to the QSAR Research of Pyrrolobenzothiazepinones and Pyrrolobenzoxazepinones-Novel and Specific Non-Nucleoside HIV-1 Reverse Transcription Inhibitors

Quantitativestructure-activityrelationship(QSAR)modelingprovidesarationalbasisforunderstandingmechanismsofbiologicalperformanceandformodifyingchemicalstfucturetoimProveperformancebyaltCringchemicalstIuctllre.Itiswellknownthatoneofthemostimportantanddiffcultproblemintraditionalquantitativestructure-activityrelationshipistheproperchoiceoftheadequatefeaturesforbuildingtheregressionmodels.Recentlysomereportssuggestthatgeneticalgorithms(GA)maybeusefulinQSARanalysis.WehavedevelopedaQSARprogra…     

Spectrophotometric determination of nitrite with p-nitroaniline and 2-methyl-8-quinolinol in hexadecyl-trimethylammonium bromide solution

Nitrite ion at low concentrations is determined spectrophotometrically by diazotization of p-nitroaniline and coupling of the diazonium salt with 2-methyl-8-quinolinol. The resulting dye is solubilized in hexadecyltrimethylammonium bromide micelles. The molar absorptivity is 4.72 × 10⁴ l mol^-1 cm^-1, and the Sandell sensitivity is 9.7 × 10^-4 μg cm^-2. Some interferences are reported, and preconcentration by evaporation is evaluated. The solubility of hexadecyltrimethylammonium bromide in water was determined as a function of temperature; the Krafft point is 19.6°C. Salting-in of the surfactant by potassium nitrate is described.     

混合优化RBF-BP网络的板形缺陷识别

针对传统板形模式识别方法存在精度低、鲁棒性弱的问题,提出了一种混合优化RBF-BP组合神经网络板形模式识别方法。首先利用自组织映射网络(SOM)对样本聚类,利用聚类后的网络拓扑结构确定RBF的中心,并计算RBF的宽度,克服了传统聚类算法随机选取中心导致聚类结果不稳定的问题。然后利用遗传算法(GA)良好的全局搜索能力优化整个网络的权值。RBF-BP组合神经网络是由一个RBF子网和一BP子网串联构成的,该网络同时具备BP神经网络能较好地预测未知样本的能力以及RBF神经网络的逼近速度快的优点。并以某900HC可逆冷轧机板形识别为应用背景,在MATLAB2010a环境下进行仿真实验,结果表明混合优化RBF-BP组合神经网络的板形模式识别方法能够识别出常见的板形缺陷,提高了板形缺陷识别精度并具有较好的鲁棒性,可以满足板带轧机高精度的板形控制要求。     

基于博弈论的铁路集装箱中心站装卸作业研究

考虑铁路集装箱中心站不同装卸任务之间的竞争性因素,采用博弈论的方法,研究中心站在客户竞争驱动下的装卸资源调度及作业顺序问题。建立博弈模型并设计遗传算法,通过求解该问题的典型算例,将得到的均衡解与静态最优解进行对比,分析考虑竞争因素的作业方案与最优作业方案的差异。结果表明该方法在对最优方案影响较小的情况下,充分考虑了各装卸任务间的竞争公平性,为中心站确定更加合理的装卸作业顺序和资源调度提供科学的依据。     

Ant colony approach to constrained redundancy optimization in binary systems

This paper presents an ant colony optimization algorithm to address the constrained redundancy allocation problem in order to maximize system reliability for complex binary systems. The constraints involved, though separable, are both linear and non-linear. We couple an adaptive penalty function with the basic ant colony approach to handle highly constrained problems and embed a local search technique to find still better locally optimal solutions. The proposed algorithm has been tested on a large number of problems, containing even up to 500 subsystems, with both fixed and randomly generated parameters. Experimental results demonstrate the advantage of the proposed algorithm to solve similar types of problems.     

基于遗传优化的西太平洋副高异常活动年份的动力预报模型反演

基于2000–2010年NECR/NECP的500 hPa位势场资料, 用EOF时空分解方法和动力模型重构思想, 通过遗传算法的全局优化搜索和并行计算途径, 开展了500 hPa位势场动力预报模型反演, 建立了刻画副高活动的非线性动力预报模型, 实现了副高活动的中长期预报. 模型预报试验表明, 该模型对副高的中长期活动, 尤其是异常活动能够较好地描述和预报, 进而为副高等复杂天气系统的预报探索了新的方法思路. 关键词： 副热带高压 500 hPa位势场 动力模型反演 遗传算法     

基于矩阵式遗传算法的进出口集装箱堆场箱位分配策略

为提高集装箱码头堆场系统的运作效率,本文针对集装箱码头进出口堆场的空间分配问题,建立了在“作业面”作业模式下以集卡水平运输距离最短为目标,考虑各箱位作业量均衡的集装箱箱位分配模型,对计划时段内的进出口箱箱位分配进行全局优化．采用矩阵式的实数编码方式的遗传算法对模型进行了求解,使用最优解保存策略保证了最终的优化结果．最后通过仿真算例,验证了本文所建立的箱位分配模型对优化堆场空间资源分配,提高进出口箱流转速度的适用性．     

More QACs,more questions: Recent advances in structure activity relationships and hurdles in understanding resistance mechanisms

Quaternary ammonium compounds (QACs) are a class of antimicrobials that have been around for over a century; nevertheless, they have found continued renewal in the structures to which they can be appended. Ranging from antimicrobial polymers to adding novel modes of action to existing antibiotics, QACs have found ongoing use due to their potent properties. However, resistance against QACs has begun to emerge, and the mechanism of resistance is still only partially understood. In this review, we aim to summarize the current state of the field and what is known about the mechanisms of resistance so that the QACs of the future can be designed to be evermore efficacious and utilized to unearth the remaining mysteries that surround bacteria’s resistance to them.