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Self-adapting semantic sensitivities for Semantic Similarity based Crossover

Self-adapting semantic sensitivities for Semantic Similarity...

引用

Congress on Evolutionary Computation

作者： Nguyen Quang Uy Bob McKay Michael O'Neill Nguyen Xuan Hoai Natural Computing Research and Application Group University College Dublin Ireland School of Computer Science and Engineering Seoul National University South Korea School of Information Technology Hanoi University Vietnam

This paper presents two methods for self-adapting the semantic sensitivities in a recently proposed semantics-based crossover: Semantic Similarity based Crossover (SSC). The first self-adaptation method is inspired by a self-adaptive method for controlling mutation step size in Evolutionary Strategies (1/5 rule). The design of the second takes into account more of our previous experimental observations, that SSC works well only when a certain portion of events successfully exchange semantically similar subtrees. These two proposed methods are then tested on a number of real-valued symbolic regression problems, their performance being compared with SSC using predetermined sensitivities and with standard crossover. The results confirm the benefits of the second self-adaption method.

关键词： Semantics Sensitivity Equations Mathematical model Syntactics Evolutionary computation Tuning

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Fuzzy time series forecasting for RMB's exchange rate based on FCM

Fuzzy time series forecasting for RMB's exchange rate based ...

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Chinese Control Conference (CCC)

作者： Qing-Jiang Zhao Kai Chi Fang-Ping Fu Chao-Chao Li Wen-Gang Che Department of Physics and Technology Kunming University 650031 China School of Information Engineering and Automation Kunming University of Science and Technology 650051 China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming 650051 China

Forecasting exchange rate is one of the most important research topics in financial time series field. In this paper, the author combine fuzzy time series model with fuzzy clustering method to predict the USD/CHY exchange rate. The empirical results show that this method can obviously obtain higher forecasting precision than some traditional ones.

关键词： Forecasting Time series analysis Fuzzy sets Electronic mail Exchange rates Prediction algorithms Genetics

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Discussion on the Method of Basic computer Education in Characteristic University

Discussion on the Method of Basic Computer Education in Char...

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2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

作者： Fang Wei School of Computer and Software Nanjing University of Information Science and technologyNanjing China JiangSu Province Support Software Engineering R&D Center for Information Technology Application in Enterprise Suzhou China

The situation and questions of basic computer education in characteristics university are discussed firstly. Then the reform and construction of university computer-Based teaching are proposed. The paper has analyzed ... 详细信息

ISBN: (纸本)9781424455140

关键词： Basic computer Education Characteristic University Employee Oriented Ablity Development

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Identifying reaction of stock price to public information based on fuzzy c-means clustering

Identifying reaction of stock price to public information ba...

引用

Chinese Control Conference (CCC)

作者： Chao-Chao Li Kai Chi Fang-Ping Fu Wen-Gang Che Qing-Jiang Zhao School of Information Engineering and Automation Kunming University of Science and Technology 650051 China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming University of Science and Technology 650051 China Department of Physics and Technology Kunming University 650031 China

The efficient markets hypothesis (EMH) maintains that market prices fully reflect all available information such as public or private information. Therefore, the study of analyzing the reaction of stock price to the information has attracted more and more attention. Here we proposed an effective measuring method using fuzzy c-means (FCM) for describing the reaction to public information, and further analyzing and quantifying the intensity. Taking the deposit reserve rate, a kind of typical public information, as an example, the clustering results show that there are there prominent characters of reaction in Shanghai A-share market. Furthermore, the empirical results indicate that the clustering technique has a good effect in classifying the intensity of reaction of stock market to public information.

关键词： Electronic mail Book reviews Finance Stock markets Physics Biological system modeling

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Notice of Retraction: The sensitive feature selection for Chinese phrases

Notice of Retraction: The sensitive feature selection for Ch...

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International Conference on computer Science and Information technology (CSIT)

作者： Ying-Hong Liang Jin-xiang Li De-fu Zhou Application in Enterprise JiangSu Province Support Software Engineering Research and Development Center for Modem Information Technology Suzhou China School of Computer Engineering Suzhou Vocational University Suzhou China

This article has been retracted by the publisher.

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Cooperative Co-evolution for large scale optimization through more frequent random grouping

Cooperative Co-evolution for large scale optimization throug...

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Congress on Evolutionary Computation

作者： Mohammad Nabi Omidvar Xiaodong Li Zhenyu Yang Xin Yao Evolutionary Computing and Machine Learning Group (ECML) the School of Computer Science and IT RMIT University Melbourne VIC Australia Nature Inspired Computation and Application Laboratory Department of Computer Science and Technology University of Science and Technology Hefei Anhui China Centre of Excellence of Research in Computational Intelligence and Applications (CERCIA) School of Computer Science University of Binningham Birmingham UK

In this paper we propose three techniques to improve the performance of one of the major algorithms for large scale continuous global function optimization. Multilevel Cooperative Co-evolution (MLCC) is based on a Cooperative Co-evolutionary framework and employs a technique called random grouping in order to group interacting variables in one subcomponent. It also uses another technique called adaptive weighting for co-adaptation of subcomponents. We prove that the probability of grouping interacting variables in one subcomponent using random grouping drops significantly as the number of interacting variables increases. This calls for more frequent random grouping of variables. We show how to increase the frequency of random grouping without increasing the number of fitness evaluations. We also show that adaptive weighting is ineffective and in most cases fails to improve the quality of found solution, and hence wastes considerable amount of CPU time by extra evaluations of objective function. Finally we propose a new technique for self-adaptation of the subcomponent sizes in CC. We demonstrate how a substantial improvement can be gained by applying these three techniques.

关键词： Optimization Probability computer science Electronic mail Space exploration Computational modeling Software

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A Relation Model Based Spatial Grid Catalogue

A Relation Model Based Spatial Grid Catalogue

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International Conference on Advanced Geographic Information Systems, applications, and Services (GEOPROCESSING)

作者： Zhou Huang Zhiming Gui Xuetong Xie Dongxuan Tian Lixia Liu Xiaoning Wang Peking University Beijing Beijing CN School of Computer Science Beijing University of Technology Beijing China National Satellite Ocean Application Service Beijing China Institute of Space Radio Technology National Key Laboratory of Space Microwave Technology Xi'an China

ISBN: (纸本)9781424458097;9780769539515

Spatial Grid provides a well solution to effective sharing of geographically dispersed spatial data. Various distributed spatial task processing like query can be achieved upon it. To support task allocation in Spatial Grid, effective and reliable spatial grid catalogue should be developed since it provides resource distribution information. This paper proposes a novel relation model based spatial grid catalogue. Design and implementation details for constructing our proposed spatial grid catalogue are discussed. Practical experiments also reveal the relation model based spatial grid catalogue can effectively discover appropriate grid resources and help make better spatial task allocation.

关键词： Resource management Space technology Microwave technology Educational technology Marine technology File servers Geographic Information Systems Laboratories Remote sensing Belts

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Robust Incremental LMS over Wireless Sensor Network in Impulsive Noise

Robust Incremental LMS over Wireless Sensor Network in Impul...

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International Conference on Computational Intelligence and Communication Networks (CICN)

作者： T. Panigrahi G. Panda B. Mulgrew Babita Majhi Department of Electronics and Communication Engineering National Institute of Technology Rourkela India School of Electrical Science Indian Institute of Technology Bhubaneswar India Institute for Digital Communication University of Edinburgh UK Department of Computer Application SOA University Bhubaneswar India

ISBN: (纸本)9781424486533

Distributed wireless sensor networks have been proposed as a solution to environment sensing, target tracking, data collection and others. Energy efficiency, high estimation accuracy, and fast convergence are important goals in distributed estimation algorithms for WSN. This paper studies the problem of robust adaptive estimation in impulsive noise environment using robust cost function like Wilcox on norm and error saturation nonlinearity. The incremental cooperative scheme conventionally used in sensor network in which each node have local computing ability and share them with their predefined neighbors, is not robust to impulsive type of noise or outliers. In this paper the robust norm is introduced in incremental cooperative distributed network to estimate the desired parameters in presence of Gaussian contaminated impulsive noise.

关键词： Noise Robustness Least squares approximation Signal processing algorithms Estimation Mathematical model Wireless sensor networks

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Multiobjective evacuation route assignment model based on genetic algorithm

Multiobjective evacuation route assignment model based on ge...

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International Conference on Geoinformatics

作者： Qiuping Li Zhixiang Fang Qingquan Li Xinlu Zong Engineering Research Center of Spatio-Temporal Data Smart Acquisition and Application Ministry of Education of China Wuhan University of China Wuhan China Wuhan University Wuhan Hubei CN School of Computer Science and Technology Wuhan University of Technology Wuhan China

ISBN: (纸本)9781424473014

Emergency evacuation in public places becomes a research focus in recent decades. One major objective of evacuation is to maximize the efficiency of the whole evacuation system. The paper proposes a multiobjective evacuation route assignment model to plan an optimal egress route set for the individual evacuees. The three objectives in the proposed model are to minimize the total evacuation time, minimize the total travel distance of all the evacuees and minimize the congestion during the evacuation process. These objectives need to be satisfied simultaneously while some of them conflict with each other. The travel speed on each road segment is related with the time and the number of evacuees on it during a certain time period. The congestion of a road segment is modeled as the density of evacuees passing it in time and space dimensions. The evacuation route assignment problem can be treated as a combinatorial optimization problem. A multiobjective optimization model based genetic algorithm is adopted to solve the proposed evacuation routing problem. Wuhan Sport Center in Wuhan city of China was taken as the experiment scenario to test the performance of the proposed algorithm. The results showed that it can provide some system optimal evacuation plans. Meanwhile, the multi-objective optimization model based genetic algorithm can produce a pareto optimal set rather than single optimal point, thus the model can give alternative strategies for the evacuation policy makers.

关键词： Optimization Biological cells Encoding Buildings Roads Cities and towns Evolutionary computation

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Fuzzy time series forecasting for RMB's exchange rate based on FCM

Fuzzy time series forecasting for RMB's exchange rate based ...

引用

作者： Zhao, Qing-Jiang Chi, Kai Fu, Fang-Ping Li, Chao-Chao Che, Wen-Gang Department of Physics and Technology Kunming University Kunming 650031 China School of Information Engineering and Automation Kunming University of Science and Technology Kunming Kunming 650051 China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming 650051 China

ISBN: (纸本)9787894631046

关键词： Finance

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