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2010 Fourth International Conference on Genetic and Evolutionary Computing最新文献

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A New MCMC Particle Filter: Re-sampling Form the Layered Transacting MCMC Algorithm 一种新的MCMC粒子滤波器:分层处理MCMC算法的重采样
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.227
Jun Tian, Yu Liang, Jiansheng Qian
{"title":"A New MCMC Particle Filter: Re-sampling Form the Layered Transacting MCMC Algorithm","authors":"Jun Tian, Yu Liang, Jiansheng Qian","doi":"10.1109/ICGEC.2010.227","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.227","url":null,"abstract":"In this paper, a new method, named layered trans- acting MCMC Resampling algorithm, is proposed to handle the sample impoverishment problem. The basic idea of the new method is to adjust all particles to the high likelihood areas in state-space rather than multiplying particles with high weights and eliminating particles with small weights, which avoids sample impoverishment effectively. In the proposed method, mutation operator and Particle Swarm Optimization (PSO), which considered as transition kernels of MCMC, applied to each particle, and this promotes a possible displacement of the particles to a better location in the state-space until converging to target posterior density. Finally,a computer simulation is performed to show the effectiveness of the proposed method. Keywords-particle filter; mutation; PSO; Markov Chain Monte Carlo; sample impoverishment;resampling","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124799310","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
Semi-supervised Kernel Based Progressive SVM 基于半监督核的渐进式SVM
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.33
Zhikai Zhao, Jian-Sheng Qian, Jian Cheng, Guihua Wang
{"title":"Semi-supervised Kernel Based Progressive SVM","authors":"Zhikai Zhao, Jian-Sheng Qian, Jian Cheng, Guihua Wang","doi":"10.1109/ICGEC.2010.33","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.33","url":null,"abstract":"Most existing semi-supervised methods implemented either the cluster assumption or the manifold assumption. The performance will degrade if the assumption was not proper for the data. A method was proposed by combining both the cluster assumption and the manifold assumption. A semi-supervised kernel which reflected geometric information of the samples was constructed through warping the Reproducing Kernel Hilbert Space. Then the semi-supervised kernel was used in SVM which was based on cluster assumption, and a progressive learning procedure was used in the proposed method. Experiments had been took on synthetic and real data sets, and the results showed that, compared with the progressive SVM with common kernel and the standard SVM with semi supervised kernel, the proposed method using semi-supervised kernel in progressive SVM had competitive performance.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126003938","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
Supporting Collaborative Interaction with Real Time Force Feedback in Distributed Haptic Virtual Environments over IP Networks 在IP网络上的分布式触觉虚拟环境中支持与实时力反馈的协作交互
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.130
K. Yap
{"title":"Supporting Collaborative Interaction with Real Time Force Feedback in Distributed Haptic Virtual Environments over IP Networks","authors":"K. Yap","doi":"10.1109/ICGEC.2010.130","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.130","url":null,"abstract":"This paper presents an investigation into a new peer-to-peer network architecture for real time tele-haptic operation in distributed virtual environments (DVEs). A novel force collaboration and position synchronization algorithm is developed in order to support networked haptic interactions. Network impairments such as time delay, jitter and packet loss each have different (and severe) impacts on remote haptic collaborations. The new peer-to-peer architecture is able to support haptic interactions over IP networkes. Experiments have been conducted to show the performance of this architecutre in comparison with the currently available two algorithms that compensate for delay (TiDeC™), and position (dead reckoning) are examined. Experiments have been conducted to investigate the threshold levels of QoS required for networked haptic collaboration. Findings of the study are presented in this paper with recommendations for a set of network QoS parameter values that support haptic collaboration over IP networks.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525663","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: 5
Frequent Item Detection on Probabilistic Data 基于概率数据的频繁项检测
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.112
Shuang Wang, Jitong Chen, Guoren Wang
{"title":"Frequent Item Detection on Probabilistic Data","authors":"Shuang Wang, Jitong Chen, Guoren Wang","doi":"10.1109/ICGEC.2010.112","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.112","url":null,"abstract":"Frequent items detection is one of the valuable techniques in many applications, such as network monitor, network intrusion detection, worm virus detection, and so on. This technique has been well studied on deterministic databases. However, it is a new task on emerging uncertain database. In this paper, a new definition of frequent items detection on uncertain data is defined. Based on it, two efficient filtering rules are proposed, which can largely reduce the number of items to be detected. Furthermore, an efficient algorithm UFI is proposed to detect frequent items on uncertain database. The UFI algorithm adopts the recursion rule in probability computation and greatly improves the efficiency of single data detection. Finally, the experimental results show that the proposed approaches can efficiently prune the candidates, reduce the corresponding searching space and improve the performance of query processing on uncertain data.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129938674","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
A Double Auction Method for Resource Management and Bidding Strategy on Grid Resources 网格资源管理的双拍卖方法及竞价策略
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.111
Xueyi Wang, Xingwei Wang, Min Huang, Y. Ma, Zhenhua Tan
{"title":"A Double Auction Method for Resource Management and Bidding Strategy on Grid Resources","authors":"Xueyi Wang, Xingwei Wang, Min Huang, Y. Ma, Zhenhua Tan","doi":"10.1109/ICGEC.2010.111","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.111","url":null,"abstract":"According to the feature of the allocation of resources in grid environment, an improved grid resource management model based double auction is presented and evaluated. By double auction of grid resource agent and task agent, it implements the management of resources and proposes bidding strategies of grid resources to resolve the low efficiency problem which is because of excessive rounds in the resources auction. The simulation result shows that the trade path in every round of match strictly follows the path which is the most effective and profitable in the grid resource allocation of double auction. The quoted price strategy can decrease the round number effectively and improve the efficiency of grid resource auction. Therefore, it has the instructive value of actual application.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509487","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
Apply Grey System Method in the Influence Factors Weighting Analysis in Kindergarten 灰色系统法在幼儿园影响因素权重分析中的应用
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.122
Yuan-Piao Lee, Chu-Sung Shih, H. Ding, Yi-Ping Guan, Tien-Yu Chen, Kun-Li Wen
{"title":"Apply Grey System Method in the Influence Factors Weighting Analysis in Kindergarten","authors":"Yuan-Piao Lee, Chu-Sung Shih, H. Ding, Yi-Ping Guan, Tien-Yu Chen, Kun-Li Wen","doi":"10.1109/ICGEC.2010.122","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.122","url":null,"abstract":"Early childhood education began in the 18 century, and was done mostly charity. Society has changed over the 30 years and now both parents need to work. Because of this, early childhood education is much more important. It is also more difficult to pick a good school because now parent have more choices, especially because there are schools all over Taiwan. In past research, we cannot find a clear method that helped parents choose quality school. Hence, in this paper, we use the grey relational grade (GRG) and GM(0,N) as our mathematics models. The main purpose is to rank the influence factor for kindergarten and give suggestions to parents on the best way to pick a quality school. Based on the practical analysis, this study has made it possible to get access to the sequence and value of each variable. In addition, the result of this study is compatible with thoughts of individuals and parents may take the study result for the reference as making choices of kindergarten.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128687580","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
Performance Simulating of Electric-Liquid Compound Diesel Speed Governor Device 电液复合柴油机调速装置性能仿真
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.48
Bailing Song, Baoquan Zhu
{"title":"Performance Simulating of Electric-Liquid Compound Diesel Speed Governor Device","authors":"Bailing Song, Baoquan Zhu","doi":"10.1109/ICGEC.2010.48","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.48","url":null,"abstract":"The model of electric-Liquid Compound speed governor device of the diesel was establishedl, which makes simulations by use of Simulink and gives the dynamic curves of speed when load is changed and conducts an analysis on the influence of adjustable parameter on the dynamic process of speed governor device. The results show that the governor device can effectively inhibit the load disturbance, effectively improve the accuracy of the speed governor system and improve the frequency stability of the ship power system. The results can also provide the theoretic basis for taking necessary measures to improve the performance of the system during design and management.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130505349","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
System Identification of TP Film Evaporation by Using Nearly Equivalent NN Model 基于近似等效神经网络模型的TP膜蒸发系统辨识
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.37
Du-Jou Huang, Chih-Chien Huang, Yu-Ju Chen, Huang-Chu Huang, Shen-Whan Chen, R. Hwang
{"title":"System Identification of TP Film Evaporation by Using Nearly Equivalent NN Model","authors":"Du-Jou Huang, Chih-Chien Huang, Yu-Ju Chen, Huang-Chu Huang, Shen-Whan Chen, R. Hwang","doi":"10.1109/ICGEC.2010.37","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.37","url":null,"abstract":"This paper presents a technique, called “nearly equivalent neural network (NN) model” in the application of nonlinear system identification. This technique is expected to adequately to catch the behavior of the nonlinear system. To demonstrate the new technique proposed, the evaporation system of TP decoration film was analyzed. The complex relationship between the film’s transmittance and its possible influencing factors was identified. For the comparison, the same simulations were also performed by using the conventional neural network with the standard steepest descent error back-propagation (BP) learning algorithm.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126668967","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
Fish Migration Optimization Based on the Fishy Biology 基于鱼类生物学的鱼类洄游优化
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.198
Jeng-Shyang Pan, Pei-wei Tsai, Yu-Bin Liao
{"title":"Fish Migration Optimization Based on the Fishy Biology","authors":"Jeng-Shyang Pan, Pei-wei Tsai, Yu-Bin Liao","doi":"10.1109/ICGEC.2010.198","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.198","url":null,"abstract":"In this paper, we propose Fish Migration Optimization (FMO) method based on a verified equation of the fish swim in the fish biology for solving numerical optimization problems. Inspired by the fish migration, the migration and the swim model are integrated into the optimization process. Four benchmark functions are used to test the convergence, the accuracy and the speed of FMO, and the experimental results are compared with PSO. The experimental result indicates that the proposed FMO presents higher accuracy and convergence speed.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129200940","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: 32
Iterative Belief Revision in Partial Observable Non-deterministic Planning 部分可观测非确定性规划的迭代信念修正
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.44
Dongning Rao, Zhihua Jiang
{"title":"Iterative Belief Revision in Partial Observable Non-deterministic Planning","authors":"Dongning Rao, Zhihua Jiang","doi":"10.1109/ICGEC.2010.44","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.44","url":null,"abstract":"Any information about the current state is precious in Partial Observed Nondeterministic Planning (PONDP). Since the system do not exactly know the current state, new observation information is helpful to make it clearer. Although delayed effects are common in real-world domains, they have never been addressed in PONDP. Hence we propose a novel method for reasoning about belief states in PONDP, especially in the case of delayed effects. Addressing delayed effects need to revise not only the current belief state but also the whole belief history. The core algorithm is called Iterative Belief Revision algorithm (IBR), which bridges the gap between PONDP and belief change for the first time. IBR first finds out all action candidates for a newly known fact, and then determines which effects have happened, and finally revise the belief history along with the current state. Examples show that IBR fulfills its duty.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123335199","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
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