发布求助
文献互助 智能选刊 最新文献

2008 Second International Conference on Genetic and Evolutionary Computing最新文献

筛选
英文 中文
Conceptual Design Knowledge Management Based on Rule and User's Feedback 基于规则和用户反馈的概念设计知识管理
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.113
Z. Bao, Lei Guo, Hui Zhong, Rong Luo
{"title":"Conceptual Design Knowledge Management Based on Rule and User's Feedback","authors":"Z. Bao, Lei Guo, Hui Zhong, Rong Luo","doi":"10.1109/WGEC.2008.113","DOIUrl":"https://doi.org/10.1109/WGEC.2008.113","url":null,"abstract":"The paper concentrates on the issue how to get the answer to provide knowledge support with available knowledge of concept design for the problem cases. First, a method based on the rules and feedbacks from users is offered for concept-designing. User's feedback is integrated with case-based reasoning (CBR). This method can improve effect and precision of knowledge support for problem cases. Function unit and restriction matrix are used in the process of integration. Then, information of user's feedback is analyzed for improving the product quality. At last, this paper presents a system framework and analyzes the practical flow of the module. And the framework is verified by an example.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116532592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Long-Range Monitoring System of Water-Supply Based on Multi-agent 基于多智能体的供水远程监控系统
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.93
Lizhi Yang, T. Zhao, Junhu Yang
{"title":"Long-Range Monitoring System of Water-Supply Based on Multi-agent","authors":"Lizhi Yang, T. Zhao, Junhu Yang","doi":"10.1109/WGEC.2008.93","DOIUrl":"https://doi.org/10.1109/WGEC.2008.93","url":null,"abstract":"In the present water-supply monitoring system, every pipe network monitoring point is distributed in the range wide, in large quantity, in long distance, and not centralized, so there is certain difficulty to control. Through bringing in the theory of Multi-Agent, this text has proposed a kind of new-type long-range monitoring system of water-supply based on multi-agent. The system consists of control center agent, monitoring agent federation, as well as inquiring-pay agent. Monitoring agent federation completes the function such as measuring and treatment of the full parameters of all the monitoring points in the entire water-supply system, and is responsible for sending measured data to the control center; after analyses and processes the received messages, control center agent sends the handled data to monitoring agent to go on the new regulation running on the one hand, on the other hand to inquiring-pay agent for users to inquire and pay. This system, which has many advantages such as communication swift and coordination convenient, is of greater practical value to the monitoring field of water-supply in which monitoring points are dispersed, the amount of data transmission is larger, and nobody is on duty.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121567853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Multiobjective Evolutionary Tracking Indoor Positioning Algorithm for Smart Space 面向智能空间的多目标进化跟踪室内定位算法
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.13
H. Qin, Youfu Du
{"title":"A Multiobjective Evolutionary Tracking Indoor Positioning Algorithm for Smart Space","authors":"H. Qin, Youfu Du","doi":"10.1109/WGEC.2008.13","DOIUrl":"https://doi.org/10.1109/WGEC.2008.13","url":null,"abstract":"This paper is mainly devoted to identify an evolutionary approach based on search strategy, namely multiobjective evolutionary algorithm for indoor positioning (MEIP). Each subproblem is optimized by information from its several neighboring subproblems, which makes MEIP lower computational complexity at each generation and be capable of determining the user position with high accuracy. Experimental results have demonstrated that MEIP is able to achieve accuracy significantly better than the current WLAN location determination systems. It has been shown that MEIP using objective normalization can deal with disparately scaled objectives, and MEIP with an advanced decomposition method can generate a set of very evenly distributed solutions for n-objective test instances. The ability of MEIP to track a large number of users and to be used with large areas, the scalability and sensitivity of MEIP have also been experimentally investigated in this paper.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123846616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Robust Collaborative Optimization of a Multi-finger Micro-accelerometer Based on Genetic Algorithm 基于遗传算法的多指微加速度计鲁棒协同优化
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.79
Yuming Yuan, Wenhui Fan, Wei Wang, Hui Liu
{"title":"Robust Collaborative Optimization of a Multi-finger Micro-accelerometer Based on Genetic Algorithm","authors":"Yuming Yuan, Wenhui Fan, Wei Wang, Hui Liu","doi":"10.1109/WGEC.2008.79","DOIUrl":"https://doi.org/10.1109/WGEC.2008.79","url":null,"abstract":"Multi-finger microaccelerometer are microelectromechanical systems (MEMS) devices based on IC technology and micro-machining technology, which are widely implemented both in military and civilian fields. Robust Collaborative Optimization (RCO) method is built based on CO method. The research establishes the RCO Model based on genetic algorithm for the problem, and proposes a MATLAB program to calculate it, which eliminate the coupling of the system and minimize the fluctuations of the system objective function, so as to obtain the stable and optimal solution for the system. The results are compared and analyzed to validate the effectiveness of RCO method and MATLAB program. The research analyzes the cause and effect of variable quantity magnitude difference problem encountered in the process, and proposes weight variation method to improve, which eliminates the impact of the problem.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124027972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A New Particle Swarm Optimization Algorithm and Its Convergence Analysis 一种新的粒子群优化算法及其收敛性分析
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.90
Z. Ren, Jian Wang, Hui-zhe Zhang
{"title":"A New Particle Swarm Optimization Algorithm and Its Convergence Analysis","authors":"Z. Ren, Jian Wang, Hui-zhe Zhang","doi":"10.1109/WGEC.2008.90","DOIUrl":"https://doi.org/10.1109/WGEC.2008.90","url":null,"abstract":"This paper modified the structure of the original PSO algorithm. It proposes that the particles' position have relationship with the one particle's and the whole swarm's perceive extent in the processing of this time and last time, and presents the inertial weight based on simulated annealing temperature. So a new Particle Swarm Optimization algorithm (NPSO) is proposed. It can not improve the one particle's and the whole swarm's perceivable extent and improve the searching efficient but also increase variety of particles and overcome the defect of sinking the local optimal efficiently. At the same time we give the convergence condition of this new algorithm. The algorithm of PSO and NPSO and LPSO are tested with four well-known benchmark functions. The experiments show that the convergence speed of NPSO is significantly superior to PSO and LPSO. The convergence accuracy is increased.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121321781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Novel Genetic Algorithm Based on Dynastic Changes Mechanism of Nation 一种基于民族动态变化机制的遗传算法
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.29
Chao-xue Wang, Chang-Hua Li, Fei Qi, Zhi-jie Li
{"title":"A Novel Genetic Algorithm Based on Dynastic Changes Mechanism of Nation","authors":"Chao-xue Wang, Chang-Hua Li, Fei Qi, Zhi-jie Li","doi":"10.1109/WGEC.2008.29","DOIUrl":"https://doi.org/10.1109/WGEC.2008.29","url":null,"abstract":"On the basis of the analysis of canonical genetic algorithm's shortage, a novel genetic algorithm based on dynastic changes mechanism of nation (DCGA) is proposed. In DCGA, populations one by one evolve according to the relay race mode, by which the DCGA holds a mechanism of transferring from a local optimal solution to another better one and finally finding the global optimal solution under the guidance of knowledge, which is continuously updated along with the alternation of population evolution. To evaluate DCGA, TSP is applied. The results of simulation show that DCGA can avoid premature convergence and evolutionary stagnation efficiently and has the strong ability of realizing the global optimization.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126306905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Evolution of Web Service-Flow Web服务流的演变
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.71
Yongzhong Cao, Qiulin Ding, Rigui Zhou
{"title":"The Evolution of Web Service-Flow","authors":"Yongzhong Cao, Qiulin Ding, Rigui Zhou","doi":"10.1109/WGEC.2008.71","DOIUrl":"https://doi.org/10.1109/WGEC.2008.71","url":null,"abstract":"Web service-flow having dynamic, distributed and flexible characteristics makes the on-line management differ from the classical workflow. This management of Web service-flow should not only run the service-flow accurately, but should also evolve it dynamically and be sure to provide a nice combination every time. At first,this paper extends the definition of WSF with a candidate set of services, and then a composite score function regarding the capability of the service-flow is presented,according to the budget of combination, time limit and the credit of service. Some candidates, which adapted well touser requirement and system environment, are selected by using genetic algorithm, it enables the agent evolve the service flow dynamically. Experimental result shows that SELECTER not only gives the superior service combination efficiently, but also protects the system integrality.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126030180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Research and Implementation of Decision Support System for Oil Production Based on SOA 基于SOA的采油决策支持系统的研究与实现
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.51
Baorong Zhong, Hong Du, Huajie Yu
{"title":"The Research and Implementation of Decision Support System for Oil Production Based on SOA","authors":"Baorong Zhong, Hong Du, Huajie Yu","doi":"10.1109/WGEC.2008.51","DOIUrl":"https://doi.org/10.1109/WGEC.2008.51","url":null,"abstract":"The decision support system for oil production based on service-oriented architecture (SOA) uses B/S structure of the three levels design pattern. It integrates the application of modern communications, graphics and image processing, remote transmission control, data mining technology and so on. It uses OLAP to analysis the field condition timely, and it plays role in production decision-making and control. This paper discusses the architecture and the physical structure of the decision support system (DSS), emphatically describes the system structure of oil production command DDS. This system not only performs in oil engineering management system (OMS), but also has great advantages in the integration of office automation system (OA) of oil industry and enterprise resource planning system (ERP).","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129823631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Research on Learners' Personality Mining Based on Improved Decision Tree Algorithm 基于改进决策树算法的学习者个性挖掘研究
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.115
Qiang Yang, Jianli Wang
{"title":"Research on Learners' Personality Mining Based on Improved Decision Tree Algorithm","authors":"Qiang Yang, Jianli Wang","doi":"10.1109/WGEC.2008.115","DOIUrl":"https://doi.org/10.1109/WGEC.2008.115","url":null,"abstract":"In order to truly realize the personalized learning in which learners are looked as the main characters, we should focus on the characteristics of learners. In order to obtain the characteristics of learners, we should mine the characteristics of learners. In this paper we put forward a kind of data mining algorithm based on improved decision tree, and combined with the characteristics data of personalized learning, then we simple analyze the application of the decision tree algorithm in the learners' personalized mining.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130197994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Intranet Based Security Infrastructure for Manufacturing Grid 基于内部网的制造网格安全基础设施
2008 Second International Conference on Genetic and Evolutionary Computing Pub Date : 2008-09-25 DOI: 10.1109/WGEC.2008.91
Niansheng Cheng, Yi-sheng Zhang
{"title":"Intranet Based Security Infrastructure for Manufacturing Grid","authors":"Niansheng Cheng, Yi-sheng Zhang","doi":"10.1109/WGEC.2008.91","DOIUrl":"https://doi.org/10.1109/WGEC.2008.91","url":null,"abstract":"In modern manufacturing grid, different security mechanisms of systems bring usage complexities and security risks. Single sign-on (SSO) can enhance the enterprise applications security and improve the overall efficiency. A security infrastructure is proposed by the token based authentication protocol in intranet. It is designed and developed on the technology of Java GSS-API, JAAS, Kerberos and SPNEGO. The key technologies such as analyzing SPNEGO token and integrating with application server are specially discussed. The application in a blanking processing factory verifies the practicability of the security service.","PeriodicalId":198475,"journal":{"name":"2008 Second International Conference on Genetic and Evolutionary Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信