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International Symposium on New Olympics New Shell and Spatial Structures

作者： Xiuli Wang Xiaodong Li School of Civil Engineering Lanzhou University of Technology Lanzhou 730050 China

＜正＞In the common process, in addition to the internal force and deformation is calculated by the computer very well, the rest is still rely on the experience of engineers, in this paper which will combine the expert systems, neural networks and genetic algorithms altogether and have a research. of intelligent expert system for large span spatial structure.

关键词： large span spatial structure expert system neural network genetic algorithms

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A GA-Based Global Decision Support System for Garment Production

A GA-Based Global Decision Support System for Garment Produc...

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2005 International Conference on Neural Networks and Brain(ICNN&B’05)

作者： Rong-Chang Chen Shiue-Shiun Li Chih-Chang Lin Chen-Chang Feng Department of Logistics Engineering and Management Graduate Institute of Business Administration Graduate Institute of Computer Science and Information Technology National Taichung Institute of Technology Director of Information Center Eclat Textile Company Limited No.28 Wu-Chuan Rd.Wu-Ku Industrial ParkTaipei

＜正＞It is hard to make decisions with a human’s brain alone,especially in global *** improving technology, each industry has to face the problem "How can I get the lower cost in the global markets?" and solve the *** this study,we try to develop a decision support system for garment industry because the garment industry operates on low profits and can’t bear too much cost. The system includes three major parts,i.e.,an input database,an analytical tool,and presentation *** information in the data is real data provided by a garment corporation and is collected from the Enterprise Resource Planning（ERP） *** tool for analyzing in this study is genetic algorithm（GA）.Finally,visualized charts and reports are used to show the scheduling result to decision *** system is designed to be easy to use and suitable to the garment industry.

关键词： Decision support systems Production systems Clothing industry Costs Enterprise resource planning Globalization Visual databases Data analysis Algorithm design and analysis genetic algorithms

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Energy Management System Based on Fuzzy Control Approach for Hybrid Electric Vehicle

Energy Management System Based on Fuzzy Control Approach for...

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2009中国控制与决策会议

作者： Wang Yifeng~1,Zhang Yun~2,Wu Jian~1,Chen Ning~(1*) 1.School of Mechanical and Automotive Engineering,Zhejiang University of Science and Technology,Hang Zhou 310023 2.School of Information Science and Technology,Zhejiang Forestry University,Hang Zhou 311300

＜正＞In order to realize optimal distribution between two types of energy in hybrid electric vehicle（HEV） and assure the reasonable operation of motor and battery,an optimal method based on energy fuzzy control strategy is *** proposed energy fuzzy control strategy is modeled in SIMULINK and incorporated into the vehicle simulation software ***,to the lack of the traditional method of getting membership function and fuzzy rules,it is presented that using the genetic algorithms optimizes the membership function of the original fuzzy logic ***,using simulation compares the optimized fuzzy logic controller and the original fuzzy logic controller,and the results show that the optimized fuzzy logic control strategy is effective in improving the fuel economy of HEV.

关键词： Fuzzy Control HEV Energy Control genetic algorithms

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A New Integrated Design Method Based on Fuzzy Matter-Element Optimization

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厦门大学学报（自然科学版） 2002年第S1期41卷 136-页

作者： ZHAO Yan-wei 1, ZHANG Guo-xian 2 (1. College of Mechanical Engineering, Zhejiang University o f Technology, Hangzhou 310014, China 2. College of Mechanical & Electronic al Engineering, Shanghai University, Shanghai 200072, China)

This paper puts forward a new integrated design met ho d based on fuzzy matter-element *** the based of analyzing the mod el of multi-objective fuzzy matter-element , the paper defines the m atter-element weightily and changes solving multi-objective fuzzy optimization into solving dependent function K(x) of the single-objective optimization according to the optimization criterion. The paper particularly describes the realization approach of GA process of multi -objective fuzzy matter-element optimization: encode, produce initial populati on, confirm fitness function, select operator, etc. In the process, the adaptive macro genetic algorithms (AMGA) is applied to enhancing the evolution speed. Th e paper improves the two genetic operators: crossover and mutation operator. The modified adaptive macro genetic algorithms (MAMGA) is put forward simultane ously. It is adopted to solve the optimization problem. Three optimization methods, namely fuzzy matter-element optimization method, li nearity weighted method and fuzzy optimization method, are compared by using the table and figure, it shows that not only MAMGA is a little better than the AMGA , but also it reaches the extent to which the effective iteration generation is 62.2% of simple genetic algorithms (SGA). By the calculation of optimum exam ple, the improved method of genetic in the paper is much better than the method in reference of paper.

关键词： multi-objective optimization fuzzy matter-elem ent genetic algorithms scheme design

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GECCO 2008

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2008年

作者： [Maarten Keijzer editor-in-chief].

来源：畅想之星图书光盘版（南... 评论

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一种基于遗传算法的实体视图选择方法

一种基于遗传算法的实体视图选择方法

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第十九届全国数据库学术会议

作者：赵政徐晓飞邓胜春倪旻何增友宋玉福哈尔滨工业大学计算机系

1.引言视图实体化(materialize)是一种将视图所对应数据加以实际物理存储的技术。其目的是通过预计算来加快数据仓库系统对用户查询的响应速度。然而视图的实体化既需要占用可观的磁盘空间,又需要耗费大量的系统资源,所以如何选择一组... 详细信息

1.引言视图实体化(materialize)是一种将视图所对应数据加以实际物理存储的技术。其目的是通过预计算来加快数据仓库系统对用户查询的响应速度。然而视图的实体化既需要占用可观的磁盘空间,又需要耗费大量的系统资源,所以如何选择一组合适的视图集合加以实体化,从而使我们能够利用有限的资源,最大限度地提高数据仓库系统对用户查询的响应速度,是一个值得研究的问题。

关键词： Business intelligence Data warehouse Materialized view selection genetic algorithms Precomputation

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基于Rough理论和遗传算法的信息系统决策分析

基于Rough理论和遗传算法的信息系统决策分析

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第二十三届中国数据库学术会议

作者：杨文元汤庸叶小平韦萍萍漳州职业技术学院计算机工程系中山大学计算机科学系贵州教育学院数学与计算机科学系

1引言1.1 Rough集理论波兰Pawlak教授提出用Rough集理论研究不完整数据、不精确知识的表达、学习和归纳等方法,依据对一个系统的观察或测量所得的数据信息,从

关键词： Pawlak model rough sets theory genetic algorithms Information system Decision analysis

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Soft Computing,Machine Intelligence and Data Mining: Features,Applications and Prospects

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南昌工程学院学报 2006年第2期25卷 45-45页

作者： Sankar K. Pal Indian Statistieal Institute Indian

Different components of soft computing (e.g., fuzzy logic, artificial neural networks, rough sets and genetic algorithms)and machine intelligence and their relevance to data mining and knowledge discovery from pattern recognition points of view are *** features of these tools are explained *** of integrating different tools for application specific merits are described. Problems like case (prototype) generation, rule generation, and classification are considered in *** of such integrations are explained along with their merits and suitability for data mining with real life applications. Significance of granular computing through rough sets is given ***,the application in bioinformatics and webmining are discussed.

关键词： data mining rough sets pattern recognition knowledge discovery granular computing genetic algorithms neural networks soft computing

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AN ANALYSIS ABOUT BEHAVIOR OF EVOLUTIONARY algorithms:A KIND OF THEORETICAL DESCRIPTION BASED ON GLOBAL RANDOM SEARCH METHODS

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Wuhan University Journal of Natural Sciences 1998年第1期3卷 31-31页

作者： Ding Lixin Kang Lishan Chen Yupin Zhou Shaoquan State Key Laboratory of Software Engineering Wuhan University Wuhan China

Evolutionary computation is a kind of adaptive non--numerical computation method which is designed tosimulate evolution of nature. In this paper, evolutionary algorithm behavior is described in terms of theconstruction and evolution of the sampling distributions over the space of candidate solutions. Iterativeconstruction of the sampling distributions is based on the idea of the global random search of generationalmethods. Under this frame, propontional selection is characterized as a gobal search operator, and recombination is characerized as the search process that exploits similarities. It is shown-that by properly constraining the search breadth of recombination operators, weak convergence of evolutionary algorithms to aglobal optimum can be ensured.

关键词： global random search evolutionary algorithms weak convergence genetic algorithms

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