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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： JIAN GAO YONG-GANG ZHANG JI-GUI SUN College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Changchu

In recently years there has been plenty of interest in Random Constraint Satisfaction Problem, both from an experimental and a theoretical point of view. In this paper we study and analyze the four popular problem instance generating models, and present the extended model B+ based on the most used model B, which has the different domains and constraint tightness meeting some probability distribution function. In the subsequent section we give the relation matrix version of backtracking integrated forward checking algorithms, and introduce the implementation of instances generator and solver based on the new model. Finally we show the experiment results and conclude the paper, point that our extended model B+ has the common phase transition region with the transitional models and it has the advantage of being suited to the testing of heuristic based constraint solving algorithms, such as variables selection heuristic algorithms.

关键词： Constraint programming RCSP constraint solving generating model testing

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A hybrid discrete particle swarm algorithm for open-shop problems

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6th International Conference Simulated Evolution and Learning, SEAL 2006

作者： Qingyun, Yang Jigui, Sun Juyang, Zhang Chunjie, Wang College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China Open Laboratory for Intelligence Information Processing Fudan University Shanghai 200433 China Basic Sciences of ChangChun University of Technology ChangChun University of Technology Changchun 130012 China

ISBN: (纸本)3540473319

A hybrid discrete particle swarm algorithm is presented in this paper to solve open-shop problems. The operations are redefined in the discrete particle swarm algorithm. To improve the performance the simulated annealing algorithm is combined with discrete particle swarm. We use SA to enhance the results of local best positions instead of current positions. The experimental results show that our hybrid discrete particle swarm algorithm is effective and efficient to solve open-shop problems. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Open systems

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Intelligent Sub-Object Image Retrieval System

Intelligent Sub-Object Image Retrieval System

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World Congress on Intelligent Control and Automation (WCICA)

作者： Wenhui Li Dongfeng Han Yi Wang Xiaosuo Lu Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science&Technology Jilin University Changchun Jilin China

This paper describes a sub-object retrieval system based on a segmentation method. We also use dynamic partial function (DPF) and indexing by locality sensitive hashing (LSH) for improving system performance. Such a system is useful for finding a sub-object from a large image database. In order to obtain the sub-object from a sample image, we use a segmentation method to cut out the object. The system utilizes the segmentation results to capture the higher-level concept of images and gets a stable and accurate result. Experimental and comparison results, which are performed using a general purpose database containing 20,000 images, are encouraging

关键词： Image retrieval Image segmentation Image databases Vehicle dynamics Indexing Information retrieval Content based retrieval Spatial databases Humans Laboratories

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Algorithm Studies of Rules Generation in CORS

Algorithm Studies of Rules Generation in CORS

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Chunxiao Fu Shuyang sun Chengmin Sun Dayou Liu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Uni

ISBN: (纸本)1424404754

In Containing Order Rough Set Methodology (CORS), ordered attribute 'criterion' is introduced. Criterion is related semantically with decision attributes, which results in producing more rational and significant rules utilizing dominance relations. In this paper, some terminologies and properties on rules or rules set, such as robust, minimal, complete are discussed, the state of art in algorithms on rules generation are analyzed, and algorithms GRs and IGRs are proposed. We compare these two algorithms by experiments in time complexity, rules count and accuracy. We find that GRs can generate all minimal rules, but time complexity is high and IGRs' efficiency is better, but quality of rules are inferior to that of GRs. We also discuss the completeness of rules set and present a viewpoint that there are three hierarchies for completeness. In accuracy calculation, three formulas for accuracy calculation and two approaches for experimental test are given.

关键词： Criteria Dominance relation Algorithm GRs Algorithm IGRs Completeness

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ADVANCES IN MULTI-AGENT COORDINATION

ADVANCES IN MULTI-AGENT COORDINATION

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： LI JIANG DA-YOU LIU College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Dnowledge Engineering of Ministry of Education Jilin Univ

Coordination is essential for five reasons: preventing anarchy or chaos;efficiency;meeting global constraints;distributed information, expertise or resources;and dependencies between the agents' actions. Coordination is also an important method for cooperation. Due to this significance,coordination have been paid great attention in recent years, from coordination models, mechanisms, methods, etc. to resource management. In this paper, we will survey these advances and give our view of future research direction.

关键词： Multi-agent coordination coordination mechanisms coordination methodologies coordination models resource management

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STUDIES ON SOME DETAILS OF ALGORITHM IGRS

STUDIES ON SOME DETAILS OF ALGORITHM IGRS

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： CHUN-XIAO FU SHU-YANG SUN CHENG-MIN SUN DA-YOU LIU College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Uni

In Containing Order Rough Set Methodology (CORS),terminologies on rules or rules set, such as robust, minimality,completeness, mutuality degree, and conflict are discussed. The rules generation algorithm IGRs is given and the details of algorithm IGRs are studied. Heuristic knowledge, which is mutuality degree of a condition item with a decision part, is used to choose condition item when generating rules. In primary and modified IGRs, two kinds of mutuality degree,simple and weighted mutuality are introduced respectively. In addition, the variable precision method is used to solve the conflict problem in modified IGRs. By experiments, the effects of two kinds heuristic knowledge and different weight values in synthetic mutuality on algorithms properties are shown,such as time consumption, calculation precision etc. The performances of IGRs with the primary and new conflict solution are compared by experiments. The conclusion is that the weighted mutuality degree is more sound and the choice of appropriate weight values in it are important to optimize the quality of rules set. The variable precision method for dealing with conflict when generating rules is more reasonable. Both two modifications to primary IGRs make the performance of IGRs enhanced and the quality of rules set better. Algorithm IGRs still need further improvement.

关键词： Criteria Dominance relation Algorithm IGRs Mutuality degree Conflict

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The 3D simulation of liquid core change of cylinder steel rolling forming on soft-reduction continuous casting process

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology 2006年第SUPPL. 1期28卷 637-639页

作者： Luo, Jian Wang, Ying Li, Ainong Hua, Lin Department of Material Science and Engineering Wuhan University of Technology Wuhan 430070 China State Key Laboratory of Plastic Forming Simulation and Die and Mould Technology Wuhan 430074 China

Using ABAQUS FEM software, the Elastic-plastic with isotropic hardening model is applied to simulate 3D cylinder slab rolling forming in continuous casting (CC), the change of liquid core before slab solidification completely on soft reduction process is studied, the analysis result shows the soft reduction technique can change the liquid core size, which is useful to cylinder slab forming in CC.

关键词： Continuous casting Liquid core simulation Soft reduction

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Visualization model of fuzzy region based on pleat set

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Xitong Fangzhen Xuebao / Journal of System simulation 2006年第SUPPL.期18卷 340-342+346页

作者： Wu, De-Sheng Yu, Qiang-Yuan Institute of Information Spreading Engineering Changchun University of Technology Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

Fuzziness modeling for spatial data is currently an important problem in geographic information systems and spatial databases. In many geographical applications, spatial regions do not always have sharply defined boundaries but frequently their interiors and boundaries are fuzzy. A fuzzy spatial region model was proposed based on pleat set and the property of fuzzy regions was analyzed. The calculation method of relative membership of point in fuzzy region was given, and visualization model based on absolute membership value was proposed. The practical case shows that the model based on pleat set is valuable in the fields such as GIS, geography and spatial database.

关键词： Fuzzy region GIS Pleat set Visualization

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An Efficient Method for Very Large Scale Out-of-Core Terrain Visualization

An Efficient Method for Very Large Scale Out-of-Core Terrain...

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Huijie Zhang Jigui Sun Haihong Yu Changsong Qi College of Computer Science Northeast Normal University China College of Computer Science and Technology Jilin University China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education China

Large scale terrain visualization with high- resolution has an increasing demand in many research fields. To realize the efficient rendering of terrain, this paper presents an out-of-core terrain visualization method based on multi-resolution storage techniques. In external memory, the terrain data set is subdivided from top to bottom to build a multi-resolution hierarchical structure based on a quad-tree. The hierarchical structure can decimate the elevation data that must be loaded into internal memory. Thus it can improve the efficiency of I/O access greatly. Moreover, in order to implement rapid data retrieval of the real time terrain flyover, an efficient indexing algorithm is proposed, in which those nodes in the hierarchical structure will be divided into several clusters in terms of the similarities of static error and the closed space constraint. In addition, a method for crack-free is also proposed here. The comprehensive experiment conducted on the GTOP30 data set shows that this approach outperforms the Block and the Hierarchy algorithms in the both ways of efficiency and simplification ratio.

关键词： Large-scale systems Clustering algorithms Information retrieval Educational institutions Computer science Data visualization Educational technology Costs Data structures Partitioning algorithms

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Using Accelerator Feedback to Improve Performance of Integral-Controller Particle Swarm Optimization

Using Accelerator Feedback to Improve Performance of Integra...

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049

ISBN: (纸本)9781424404759

Integral-controller particle swarm optimization (ICPSO), influenced by inertia weight w and coefficient ψ is a new swarm technology by adding accelerator information. Based on stability analysis, the convergence conditions imply the negative selection principles of inertia weight w, and the relationship between w and ψ. To improve the computational efficiency, an adaptive strategy for tuning the parameters of ICPSO is described using a new statistical variable reflecting computational efficiency index-average accelerator information. The optimization computing of some examples is made to show that the ICPSO has better global search capacity and rapid convergence speed.

关键词： Particle swarm optimization Average Accelerator Information Integral-controller

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