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Congress on Evolutionary Computation

作者： Regina M. Azuma Guilherme P. Coelho Fernando J. Von Zuben Laboratory of Bioinformatics and Bioinspired Computing (LBiC) Department of Computer Engineering and Industrial Automation (DCA) School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil Research and Development Department Motorola Mobility Inc. USA

The class of inventory routing problems (IRPs) is present in several areas, including automotive industry and cash management for ATM networks. In the specific case of vendor-managed IRPs, in which the supplier is responsible for managing the product inventory in each client and for properly providing replenishments, the challenge is to determine which retailers should be served, the amount of product that should be delivered to each of these retailers, and which routes the distribution vehicles should follow, so that the associated costs are minimized. Although this is clearly a multi-objective optimization problem, in the literature it has been generally modeled as a single-objective problem, which limits the scope of the obtained results. Therefore, this work presents a multi-objective approach to solve one version of the IRP usually found in the scientific literature, by simultaneously minimizing both the inventory and transportation costs. The method proposed in this work is based on the well-known SPEA2 (Strength Pareto Evolutionary Algorithm) and includes innovative aspects mainly associated with the representation of candidate solutions, genetic operators and local search. The experiments were performed on a set of known benchmark IRPs from the literature, so that the obtained results could be properly compared to the best solution found for the single-objective version of each problem.

关键词： Planning Vehicles Routing Optimization Proposals Genetics

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Fault identification for nonlinear switched systems: average dwell time approach

Fault identification for nonlinear switched systems: average...

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Chinese Control Conference (CCC)

作者： Dongsheng Du Bin Jiang Peng Shi College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 Jiangsu China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL UK

This paper investigates process fault identification for continuous-time nonlinear switched systems. A novel fault estimation algorithm, based on an adaptive fault diagnosis observer and average dwell time technique, is first proposed. In terms of linear matrix inequality, sufficient condition for the existence of the adaptive observer is derived. Simulation results are presented to illustrate the efficiency of the proposed results.

关键词： Switches Switched systems Observers Fault diagnosis Circuit faults

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Modeling and PostGIS implementation of the basic planar imprecise geometrical objects and relations

Modeling and PostGIS implementation of the basic planar impr...

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International Symposium on Intelligent Systems and Informatics (SISY)

作者： Đ. Obradović Z. Konjović E. Pap I.J. Rudas Department of Computing and Automation Faculty of Technical Sciences Novi Sad Serbia Univerzitet u Novom Sadu Novi Sad Vojvodina RS Institute of Intelligent Engineering Systems Obuda University Budapest Hungary

In this paper it is introduced a new mathematical model of basic planar imprecise geometric objects: fuzzy line, fuzzy triangle and fuzzy circle, as well as basic spatial relations: coincidence, between and collinear.... 详细信息

关键词： Geometry Spatial databases Data models Computational modeling Mathematical model Informatics Intelligent systems

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Adaptive feedforward control for dynamically substructured systems based on neural network compensation

Adaptive feedforward control for dynamically substructured s...

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作者： Li, G. Na, J. Stoten, D.P. Ren, X. School of Engineering Computing and Mathematics University of Exeter North Park Road Exeter EX4 4QF United Kingdom Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming 650093 China Cryogenic System Section Plant Engineering Division ITER Organization St Paul Lez Durance 13115 France ACTLab. Department of Mechanical Engineering University of Bristol University Walk Bristol BS8 1TR United Kingdom School of Automation Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9783902661937

The potential applications of dynamically substructured systems (DSS) with both numerical and physical substructures can be found in diverse dynamics testing fields. In this paper, a feedforward adaptive controller based on a neural network (NN) is proposed to improve the DSS testing performance. To facilitate the NN compensation design, a modified DSS framework is developed so that the DSS control can be considered as a regulation problem with disturbance rejection. Then an NN feedforward compensation technique is proposed to cope with uncertainties and nonlinearities in the DSS physical substructure. The proposed NN technique generalizes the existing results in the literature. Real-time experimental results on a mechanical test rig demonstrate the improved performance by using the NN compensationstrategy. © 2011 IFAC.

关键词： Disturbance rejection

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Crane Scheduling of Steel-making and Continuous Casting Process Using the Mixed-Timed Petri Net Modelling Via CPLEX Optimization

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IFAC Proceedings Volumes 2011年第1期44卷 9482-9487页

作者： Liangliang Sun Wei Liu Tianyou Chai Hong Wang Binglin Zheng State Key Laboratory of Integrated Automation for Process Industry (Northeastern University) Shenyang China 110004 (Tel: +1(860)4861801) Manufacturing Computing Lab Electrical Engineering Department University of Connecticut Storrs Connecticut Unite States of American (Tel: +1(860)4861801)

Abstract The key issues for iron and steel production in terms of improved productivity are to realize a good crane scheduling for a well-organized rhythm of the whole production and to improve the transportation efficiency of cranes in a computational manner to assist the main equipment scheduling. In this paper a Mixed-timed Petri net modeling is introduced to minimize the makespan of the whole steelmaking and continuous casting process. The crane scheduling problem is formulated as the optimization of firing transition sequences based on the Mixed-timed Petri net (i.e., the Petri net that includes time-transitions and zero-time transitions). Then the formulation is converted to a linear model that can be solved using the branch-and-cut method in the standard commercial solver CPLEX. Special methods for the linear conversion are developed. Due to the limited calculation time required for the scheduling and the scale of the problem, special methods for the efficiency tuning are applied according to the characteristics of the problem. Numerical testing supported by Shanghai Bashan steel plant has demonstrated a significant improvement over the traditional manual scheduling results, showing an improved effectiveness in terms of assisting the on-site schedulers to obtain a better strategy for steelmaking and continues casting.

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Multi-model based adaptive reconfiguration control for flight control systems with actuator faults

Multi-model based adaptive reconfiguration control for fligh...

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Chinese Control and Decision Conference, CCDC

作者： Yuying Guo Youmin Zhang Peng Shi Bin Jiang Zhengwei Zhu School of Information Engineering Southwest University of Science and Technology Mianyang China Department of Mechanical and Industrial Engineering Concordia University Montreal QUE Canada School of Engineering and Science Victoria University VIC Australia Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd UK College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

This paper concerns the application of multi-model based adaptive control approach to accommodate actuator fault for flight control systems. isolation. This approach does not require the exact information about the controlled system and persistent input excitations. The method can increase robustness and provides stable adaptation of unknown faults. Asymptotic model following conditions and adaptive rules are derived and system stability is guaranteed, while appropriate switching of the multiple models ensures asymptotic tracking for system outputs. An aircraft model is given to illustrate the efficiency of the proposed method.

关键词： Adaptation models Actuators Elevators Switches Adaptive control Atmospheric modeling

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An Effective Approach for the Scheduling of Steel-making and Continuous Casting System with Stochastic Processing Requirements

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IFAC Proceedings Volumes 2011年第1期44卷 9500-9505页

作者： Liangliang Sun Wei Liu Peter B Luh Tianyou Chai Binglin Zheng State Key Laboratory of Integrated Automation for Process Industry (Northeastern University) Shenyang Liaoning Province China 110819 (Tel: +86(24)23998315) Manufacturing Computing Lab Electrical Engineering Department University of Connecticut Storrs Connecticut Unite States of American (Tel: +1(860)4861801))

Abstract The steel-making and continuous casting system (SCCS) is the bottleneck in the iron and steel production, SCCS often involve various uncertainties such as the emergency customer orders, inaccurate estimate of ingredient components, the unpredictable machine breakdown or the inaccurate estimate of processing time. How to consider such uncertainties to build a better schedule in a limited time by a computationally efficient manner is becoming critical for the production of iron and steel. The stochastic dynamic programming method is adopt to solve the obtained subproblems which are relaxed by Lagrangian relaxation multipliers, a good dual solution is selected by using “ordinal optimization,” and the actual schedule is dynamically constructed based on the dual solution and the realization of random processing requirements. The method has been tested by using practical data from the Shanghai Bashan steel plant in China and could get near optimal solutions in a limited time; the stochastic processing requirements are effectively handled for the production.

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Applications classification and scheduling on heterogeneous hpc systems using experimental research

Journal of Digital Information Management

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Journal of Digital Information Management 2011年第6期9卷 227-232页

作者： Xia, Yingjie Zhu, Mingzhe Kuang, Li Ma, Xiaoqiang Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China Hangzhou Institute of Service Engineering Hangzhou Normal University Hangzhou 310012 China School of Computing Science Simon Fraser University Burnaby BC V5A1S6 Canada

Heterogeneous high-performance computing (HPC) systems have been proposed as a power efficient alternative to traditional homogeneous systems. In heterogeneous HPC system, fast CPUs which have complex pipelines, high clock frequencies as well as high power consumption are combined with slow ones which have simple pipelines, low clock frequencies as well as low power consumption. Different types of applications should be distributed to run on different type of CPUs, in order to achieve a trade-off between energy and performance. In this paper, we use experimental research to investigate the applications classifications which categorize each application as the CPU-intensive, memory-intensive, or phase-change application. We also conduct some experiments to measure the current, power, and energy of different types of applications. Afterwards, a scheduling method for applications on heterogeneous HPC systems is proposed. The experiment shows that the scheduling method can trade off the latency and energy consumption based on the applications classification and measurement.

关键词： Program processors

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Fault identification for nonlinear switched systems: Average dwell time approach

Fault identification for nonlinear switched systems: Average...

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作者： Du, Dongsheng Jiang, Bin Shi, Peng College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 Jiangsu China School of Science Huaihai Institute of Technology 59 Cangwu Road Lianyungang 222005 Jiangsu China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom School of Engineering and Science Victoria University Melbourne VIC 8001 Australia School of Mathematics and Statistics University of South Australia Mawson Lakes 5095 Australia

ISBN: (纸本)9789881725592

关键词： Linear matrix inequalities

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A hierarchical approach to represent relational data applied to clustering tasks

A hierarchical approach to represent relational data applied...

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International Joint Conference on Neural Networks (IJCNN)

作者： João C Xavier Anne M P Canuto Alex A Freitas Luiz M G Gonçalves Carlos N. Silla Universidade Federal do Rio Grande do Norte Natal RN BR Informatics and Applied Mathematics Department Federal University of Rio Grande do Norte (UFRN) Natal RN BRAZIL School of Computing University of Kent Canterbury Kent UK Computing and Automation Engineering Department Federal University of Rio Grande do Norte (UFRN) Natal RN BRAZIL

Nowadays, the representation of many real word problems needs to use some type of relational model. As a consequence, information used by a wide range of systems has been stored in multi relational tables. However, from a data mining point of view, it has been a problem, since most of the traditional data mining algorithms have not been originally proposed to handle this type of data without discarding relationship information. Aiming to ameliorate this problem, we propose a hierarchical approach for handling relational data. In this approach the relational data is converted into a hierarchical structure (the main table as the root and the relations as the nodes). This hierarchical way to represent relational data can be used either for classification or clustering purposes. In this paper, we will use it in clustering algorithms. In order to do so, we propose a hierarchical distance metric to compute the similarity between the tables. In the empirical analysis, we will apply the proposed approach in two well-known clustering algorithms (k-means and agglomerative hierarchical). Finally, this paper also compares the effectiveness of our approach with one existing relational approach.

关键词： Clustering algorithms Indexes Sediments Measurement Relational databases Data mining

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