A hybrid genetic algorithm–neural network strategy for simulation optimization

Simulation optimization aims at determining the best values of input parameters, while the analytical objective function and constraints are not explicitly known in terms of design variables and their values only can be estimated by complicated analysis or time-consuming simulation. In this paper, a hybrid genetic algorithm–neural network strategy (GA–NN) is proposed for such kind of optimization problems. The good approximation performance of neural network (NN) and the effective and robust evolutionary searching ability of genetic algorithm (GA) are applied in hybrid sense, where NNs are employed in predicting the objective value, and GA is adopted in searching optimal designs based on the predicted fitness values. Numerical simulation results and comparisons based on a well-known pressure vessel design problem demonstrate the feasibility and effectiveness of the framework, and much better results are achieved than some existed literature results.     

ON GLOBAL ROBUST STABILITY FOR COMPETITIVE NEURAL NETWORKS WITH TIME DELAYS AND DIFFERENT TIME SCALES

In this paper, using the theory of topological degree and Liapunov functional methods, the authors study the competitive neural networks with time delays and different time scales and present some criteria of global robust stability for this neural network model.     

Stylized facts in internal rates of return on stock index and its derivative transactions

Universal features in stock markets and their derivative markets are studied by means of probability distributions in internal rates of return on buy and sell transaction pairs. Unlike the stylized facts in normalized log returns, the probability distributions for such single asset encounters incorporate the time factor by means of the internal rate of return, defined as the continuous compound interest. Resulting stylized facts are shown in the probability distributions derived from the daily series of TOPIX, S & P 500 and FTSE 100 index close values. The application of the above analysis to minute-tick data of NIKKEI 225 and its futures market, respectively, reveals an interesting difference in the behavior of the two probability distributions, in case a threshold on the minimal duration of the long position is imposed. It is therefore suggested that the probability distributions of the internal rates of return could be used for causality mining between the underlying and derivative stock markets. The highly specific discrete spectrum, which results from noise trader strategies as opposed to the smooth distributions observed for fundamentalist strategies in single encounter transactions may be useful in deducing the type of investment strategy from trading revenues of small portfolio investors.     

技术策略及高技术产业化

本文论述了高技术的技术策略及高技术产业发展的３种模式：硅谷模式、日本模式和台湾模式，这些模式均有各自的特点，并与其历史背景、政治、经济、传统文化等密切相关．文中，主要集中地讨论了如何成功地应用策略，强调了将技术策略和市场策略协同起来的重要性．最后，介绍了作者对中国发展高技术产业的看法．     

浅谈施工企业成本管理存在的问题及降低成本的途径

分析了传统成本管理存在的问题，提出了施工企业降低成本的措施，包括转换企业经营机制、增强市场竞争意识，加强企业内部审计、完善企业约束机制，加大人才培养力度，挖掘企业内部潜力等。     

中国应对老龄社会的战略思路

中国已经进入老龄社会，有不同于其他国家老龄社会的特点。根据这些特点，我们应在人口、经济、社会、文化、政治等方面制定相应的发展战略。     

高速城市化进程中历史性建筑的类型保护策略

在高速城市化发展背景下,历史性建筑的保护不仅不应缩减规模,还应以形成历史性建筑保护片区为主要保护模式,使城市中的历史性建筑保护规模同城市化发展的要求和城市文化需求量相匹配.作者试图建立一种历史性建筑的类型保护策略,首先以时、空维度为标准,对城市中的历史性建筑体系进行类型划分,然后从每个类型具有的众多特异性比较中过滤出起主导作用的特异性,并以最能完整代表该特异性的对象范围为基础,界定出该类型的保护范围,并以此类推,将城市中的历史性建筑体系所包含的所有类型的保护范围加以叠加,形成最能完整再现该特异性的保护范围界定方案.     

噪声信号条件下证券市场羊群行为模型

证券市场羊群行为指投资者面临不确定信息时，忽略自有信息，模仿他人决策．针对目前中国证券市场羊群行为较重，市场主力接收的信号具有不确定性的实际情况，建立市场信号有噪声时的羊群行为模型．通过参数假设，对模型求解，分析跟风行为对市场价格波动的影响．     

关于积极促进我国跨国公司发展的若干思考

中国跨国公司形成于世界最大的发展中国家,成长于从计划经济向市场经济过渡的转型时期,壮大于中华民族和平崛起的伟大时代,因此,中国跨国公司的发展,既具有与外国跨国公司相同的规律,又具有自身的特殊规律.本文从中国跨国公司的历史演进入手,分析其发展现状及现存的问题,从宏观角度探讨促进中国跨国公司发展的经营战略.     

平遥古城持续发展的文化经济策略分新

分析了平遥古城保护和旅游发展现状，论述了平遥古城文化结构，探讨了平遥古城持续发展的文化经济策略。