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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1136 条记录，以下是871-880 订阅

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Action-seeking team coordination for Unmanned Vehicles team planning

Action-seeking team coordination for Unmanned Vehicles team ...

引用

2011 7th international conference on Computational Intelligence and Security, CIS 2011

作者： Luo, Jiang-Feng Tang, Luo-Hao Zhu, Cheng Zhang, Wei-Ming Science and Technology on Information Systems Engineering Laboratory National University of Defense and Technology Changsha China

ISBN: (纸本)9780769545844

Current researches about multi-vehicle cooperation task assignment models, such as capacitated transshipment assignment problem (CTAP) and mixed integer linear programming (MILP), have extreme amounts of computation needed for the dynamic coordination planning of Unmanned Vehicles (UV) team. In this paper, we propose the Action-Seeking Team coordination (ASTC) model with an aim to promote the UV team's high-level dynamic coordination. During the planning execution, each vehicle involved is coordinately assigned to the emergent object in its available time windows in real time. It's an incremental planning approach that treats the gradually emergent object's plan as a problem about optimum combination, which can be solved through 0-1 programming method efficiently. Finally, we confirm the above properties of the methods through the simulation experiment. © 2011 IEEE.

关键词： Integer programming

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A linear programming approach for probabilistic robot path planning with missing information of outcomes

A linear programming approach for probabilistic robot path p...

引用

2011 7th IEEE international conference on Automation science and engineering, CASE 2011

作者： Movafaghpour, Mohamad Ali Masehian, Ellips Faculty of Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781457717307

In practical robot motion planning, robots usually do not have full models of their surrounding, and hence no complete and correct plan exists for the robots to be executed fully. In most real-world problems a robot operates in just a partially-known environment, meaning that most of the environment is known to the robot at the time of planning, but there exists incomplete information about some 'hidden' variables which represent potential blockages (e.g. open/closed doors, or corridors congested with other robots or obstacles). For these hidden variables, the robot has a probability distribution estimation and a prioritized preference over their possible values. In this paper, to deal with the problem of choosing an optimal policy for planning in offline mode, a stochastic dynamic programming model is developed, which is converted to and solved by linear programming. Next, a heuristic method is proposed for conditional planning in the presence of numerous hidden variables which produces near-optimal plans. © 2011 IEEE.

关键词： Linear programming

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Application and simulation of neural nets in combustion system of circulating fluidized bed boiler

Application and simulation of neural nets in combustion syst...

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2011 7th international conference on Natural Computation, ICNC 2011

作者： Zhao, Xiao-Peng Liu, Chao-Ying Song, Xue-Ling Yao, Huan College of Electrical Engineering and Information Science Hebei University of Science and Technology HEBUST Shijiazhuang China College of Electrical Engineering and Information Science Jilin University JLU Changchun China

ISBN: (纸本)9781424499533

the combustion control of circulating fluidized bed boiler (CFBB) is an important but difficult link of its control system. An algorithm is introduced here, in which parameters of the PID controller are optimized online by BP neural networks and the programming steps are described. the mathematical models of combustion system of CFBB are analyzed. And both the simulation of conventional PID and BP-PID control algorithm are carried out in the combustion system of CFBB, it proved that this algorithm is valid and feasible. © 2011 IEEE.

关键词： Neural networks

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A fuzzy programming approach for the strategic design of distribution networks

A fuzzy programming approach for the strategic design of dis...

引用

2011 7th IEEE international conference on Automation science and engineering, CASE 2011

作者： Costantino, Nicola Dotoli, Mariagrazia Falagario, Marco Fanti, Maria Pia Mangini, Agostino M. Sciancalepore, Fabio Ukovich, Walter Department of Mechanics and Management Engineering Politecnico di Bari Bari Italy Department of Electrotechnics and Electronics Politecnico di Bari Bari Italy Department of Industrial Engineering and Information Technology University of Trieste Trieste Italy

ISBN: (纸本)9781457717307

the paper addresses the optimal design of the last branch of the supply chain, i.e., the Distribution Network (DN). We extend a deterministic optimization model previously proposed by the authors, using fuzzy numbers and fuzzy logic to take into account uncertainty in the DN model and in the DN design. Hence, a procedure employing digraph modeling and fuzzy mixed integer linear programming is presented to select the optimal DN configuration. To show the method effectiveness, the optimization model is applied to a case study. © 2011 IEEE.

关键词： Electric power distribution

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Chaotic differential evolution algorithm based on mixed method for large-scale industrial processes of fuzzy model

Chaotic differential evolution algorithm based on mixed meth...

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2011 7th international conference on Natural Computation, ICNC 2011

作者： He, Dakuo Zhao, Yuanyuan Wang, Lifeng Chang, Hongrui School of Information Science and Engineering State Key Laboratory of Integrated Automation for Process Industries Northeastern University Shenyang China School of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781424499533

In the large-scale industrial processes, there are more slow perturbations. So the mathematical model of an actual system is difficult to be accurate. When optimizing large-scale industrial processes, the mathematical model and the actual system does not match, that is model-reality difference. In order to deal with this problem, the structure of decomposition and coordination is used in this paper. the whole large-scale industrial processes can be decomposed into several subprocesses that are interactive, then the differential evolution algorithm (shorts for DE) is introduced to solve the submodel, and the mixed method including open-loop mixed method and the mixed method with global feedback is the coordinate strategy used in this paper. Chaotic differential evolution algorithm based on mixed method for large-scale industrial processes of fuzzy model is proposed in this paper. A classical example of large-scale industrial processes is applied and the simulation results show the validity of the method. © 2011 IEEE.

关键词： Nonlinear programming

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Refactoring ActionScript for Improving Application Execution Time

Refactoring ActionScript for Improving Application Execution...

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11th international conference on Web Information Systems engineering

作者： Ying, Ming Miller, James Univ Alberta Dept Elect & Comp Engn Edmonton AB T6G 2M7 Canada

ISBN: (纸本)9783642243950

Flash is a common technology for building Rich Internet Applications (RIA). Flash programmers usually specialize in graphic design rather than programming;yet, to enhance Flash users' experiences, writing efficient ActionScript code is a key requirement. therefore;Flash programmers require automated support to assist with this key requirement. Our work propose such an automated support system called art (ActionScript Refactoring Tool), which assists, via a refactoring approach, Flash programmers by automatically rewriting their ActionScript code to make their applications faster.

关键词： RIA ActionScript efficiency refactoring

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Robust receding horizon control based on data mining of nonlinear systems

Robust receding horizon control based on data mining of nonl...

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2011 8th international conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th international conference on Natural Computation, ICNC'11

作者： Song, Chonghui Li, Kun Wang, Yongfu Ye, Jinchun College of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China CTC Holdings Chicago IL 60604 United States

ISBN: (纸本)9781612841816

In this paper, a data mining method is proposed to modeling the nonlinear system with constraints based on the sample data. the nonlinear system is expressed as a dynamic fuzzy system with modeling uncertainties. A robust receding horizon control scheme is proposed to stabilize the nonlinear system. the Min-Max optimal control problem arising in the robust receding horizon control is solved by the numerical method named finite difference with sigmoidal transformation according to dynamic programming principle. the obtained value function is used as a design parameter. this robust receding horizon controller can be applied in a real-time environment. © 2011 IEEE.

关键词： Nonlinear systems

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Automatically extracting summaries with a novel unsupervised framework

Automatically extracting summaries with a novel unsupervised...

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2011 8th international conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th international conference on Natural Computation, ICNC'11

作者： Li, Peng Wang, Yinglin Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781612841816

In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sentences into aspects. We then use extended LexRank algorithm to rank the sentences in each cluster. We use Integer Linear programming for sentence selection. Key features of our method include automatic grouping of semantically related sentences and sentence ranking based on extension of random walk model. Also, we implement a new sentence compression algorithm which use dependency tree instead of parser tree. We compare our method with three baseline methods. Quantitative evaluation based on Rouge metric demonstrate the effectiveness and advantages of our method. © 2011 IEEE.

关键词： Syntactics

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A novel method for RNA secondary structure prediction

A novel method for RNA secondary structure prediction

引用

2011 7th international conference on Natural Computation, ICNC 2011

作者： Xing, Chong Ji, Zhaohua Wang, Gang Wang, Yao Shen, Wei Liang, Yanchun Key Laboratory for Symbol Computation and Knowledge Engineering of National Education MinistryCollege of Computer Science and TechnologyJilin University Changchun China College of Information Engineering Guanghua College of Changchun University Changchun China College of Communications Engineering Jilin University Changchun China

ISBN: (纸本)9781424499533

In this paper, we propose PSOfold, a particle swarm optimization for RNA secondary structure prediction. PSOfold is based on the recently published IPSO. We present two strategies to improve the performance of IPSO. Firstly, in order to boost the competence in searching an optimal solution, fuzzy logic control is used to adaptively adjust the parameters in PSO. Accordingly, three fuzzy logic controls are designed by which the inertia weight, learning factors and the number of ants are tuned respectively. Secondly, to further settle the stem permutation problem, we put forward a solution conversion strategy (SCS), which can transform discrete values of stems into an ordered stem combination, thereby supplying an enhanced solution to evaluation of objective function. An evaluation of the performance of PSOfold in terms of prediction accuracy is made via comparison with one dynamic programming algorithm mfold and four metaheuristics, IPSO, ACRNA, RnaPredict, SARNA-Predict and mfold for ten individual known structures. PSOfold is able to predict structures with higher prediction accuracy than the other metaheuristic based methods on certain sequences, and has comparable performance compared with mfold. © 2011 IEEE.

关键词： Particle swarm optimization (PSO)

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Optimized closed-loop supply chain configuration selection for sustainable product designs

Optimized closed-loop supply chain configuration selection f...

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2011 7th IEEE international conference on Automation science and engineering, CASE 2011

作者： Metta, Haritha Badurdeen, Fazleena Mechanical Engineering PhD Program University of Kentucky Lexington KY 40506 United States Department of Mechanical Engineering Institute for Sustainable Manufacturing University of Kentucky Lexington KY 40506 United States

ISBN: (纸本)9781457717307

Decision support models for coordinating sustainable product and supply chain (SC) design can help a company identify the best product designs that will bring highest sustainability benefits to the entire SC at the product development stage. this paper presents a multi-stage decision support model (developed using a hierarchical approach) that evaluates alternate product designs and their SC configurations to identify the best product design and their closed-loop SC configuration that maximizes profit and also minimize adverse environmental and societal impacts. the model considers a total life-cycle approach and promotes closed-loop flow over multiple product life-cycles. Particularly, this paper provides a detailed description of the mixed integer linear programming model developed to evaluate the impact of alternate product design on their corresponding SC configuration to identify for each design an optimal closed-loop SC configuration that maximizes the profit. the application of the model to an example problem is presented. © 2011 IEEE.

关键词： Product design

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