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检索条件"任意字段=5th International Conference on the Art, Science, and Engineering of Programming, Programming 2021"

共 1194 条记录，以下是71-80 订阅

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artificial bee colony programming made faster

Artificial bee colony programming made faster

引用

5th international conference on Natural Computation, ICNC 2009

作者： Liu, Xingbao Cai, Zixing School of Information Science and Engineering Central South University Changsha 410083 China Center of Modern Education Technology Hunan Business College Changsha 410025 China

ISBN: (纸本)9780769537368

the artificial bee colony (ABC) algorithm is a stochastic, population-based evolutionary method that can be applied to a wide range of problems, including global optimization. the paper proposes a variation on the traditional ABC algorithm, called the artificial bee colony programming, or ABCP, employing randomized distribution, bit hyper-mutation and a novel crossover operator to significantly improve the performance of the original algorithm. Application of the new ABC algorithm on fifteen benchmark optimization problems shows a marked improvement in performance over the traditional ABC. © 2009 IEEE.

关键词： Global optimization

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A non-interior point continuation algorithm based on orthogonal projection for second-order cone programming

A non-interior point continuation algorithm based on orthogo...

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5th international conference on Natural Computation, ICNC 2009

作者： Fang, Liang Hu, Yunhong Feng, Zengzhe He, Guoping College of Mathematics and Systems Science Taishan University 271021 Tai'an Shandong China Department of Mathematics Shanghai Jiao Tong University 200240 Shanghai China College of Information Science and Engineering Shandong University of Science and Technology 266510 Qingdao Shandong China Department of Applied Mathematics Yuncheng University 044000 Yuncheng Shanxi China College of Information Engineering Taishan Medical University 271000 Tai'an Shandong China

ISBN: (纸本)9780769537368

Based on orthogonal projection, a non-interior point continuation algorithm for second-order cone programming problems is proposed and analyzed. the main idea of the method is that we reformulate the complementary condition in the optimality conditions as a projection equation. Using this reformulation, we only need to solve a system of linear equations, compute two simple projections and perform one line search at each iteration. the algorithm can start from an arbitrary initial point, and doesn 't need that A has full row rank. the method is globally convergent under mild conditions. Preliminary numerical results demonstrate the effectiveness of the algorithm. © 2009 IEEE.

关键词： Second-order cone programming

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An Intelligent Obstacle Avoidance Method in Unmanned Driving 5

An Intelligent Obstacle Avoidance Method in Unmanned Driving

引用

5th international conference on Computer science and Information engineering, ICCSIE 2020

作者： Li, Jinze Liu, Qinrui Dong, Hui Wu, Maowei College of Mechanical and Electrical Engineering Shenyang Aerospace University Shenyang Liaoning110136 China

this paper proposes an intelligent obstacle avoidance method in unmanned driving. this method first establishes a simplified model for the obstacle avoidance problem in unmanned driving, and constrains the car from kinematics, physics, travelable area, and critical collision. then list the equations and uses the direct collocation method to discrete the equation. the problem is turned into a nonlinear programming problem. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Nonlinear programming

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Proceedings - 2015 5th international conference on e-Learning, ECONF 2015

Proceedings - 2015 5th International Conference on e-Learnin...

引用

5th international conference on e-Learning, ECONF 2015

ISBN: (纸本)9781467394314

the proceedings contain 74 papers. the topics discussed include: ElectroLab: electronic laboratory system;evaluation of a numerical model using COMSOL multi-physics package;interactive design modules for logic design course;an algorithm for human modeling in information technology multimedia using human biometrics found in golden ratio, vitruvian man and Neufert;syllabus design for multimedia art and engineering education - problem oriented approach;an evaluation of an integrated e-portfolio model: the case of Bahrain teachers college;programming unplugged: bridging CS unplugged activities gap for learning key programming concepts;the effect of using a developed spoken social networking website on instructional technology students attitudes and habits in Egypt;the use of e-learning system in learning about architecture;and the impact of e-books on the printed books: e-books popularity, growth and future.

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ALPSolver: A Solver for Assumable Logic programming 5

ALPSolver: A Solver for Assumable Logic Programming

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5th international conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2024

作者： Zhang, Zhizheng Chen, Jiayi Tian, Huangdezhong School of Computer Science and Engineering Southeast University Nanjing China Key Lab. of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Ministry of Education China

ISBN: (纸本)9798350368284

Assumable Logic programming (ALP), an extension of Answer Set programming (ASP), has been theoretically demonstrated to possess significant advantages in addressing problems involving incomplete information. therefore, the development of ALP solvers is urgently needed to facilitate further research and applications. this paper proposes a solving algorithm named Answer Set Based View Search (ASBVS) and its optimization to compute the results of ALP programs. Based on this, the ALPSolver has been implemented and integrated into an online platform for public use. this paper experimentally validates the correctness of the solving algorithm and confirms the advantages of ALP in handling default information, indirect exception and abductive reasoning. Additionally, the experimental results demonstrate the effectiveness of the optimization algorithm, with a notable increase in efficiency as the problem scale increases. © 2024 IEEE.

关键词： Inductive logic programming (ILP)

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TCS: A DSL for the specification of textual concrete syntaxes in model engineering 06

TCS: A DSL for the specification of textual concrete syntaxe...

引用

5th international conference on Generative programming and Component engineering, GPCE'06. Co-located with the 21st international conference on Object-Oriented programming, Systems, Languages, and Applications, OOPSLA 2006

作者： Jouault, Frédéric Bézivin, Jean Kurtev, Ivan ATLAS Team INRIA LINA

ISBN: (纸本)1595932372

Domain modeling promotes the description of various facets of information systems by a coordinated set of domain-specific languages (DSL). Some of them have visual/graphical and other may have textual concrete syntaxes. Model Driven engineering (MDE) helps defining the concepts and relations of the domain by the way of metamodel elements. For visual languages, it is necessary to establish links between these concepts and relations on one side and visual symbols on the other side. Similarly, with textual languages it is necessary to establish links between metamodel elements and syntactic structures of the textual DSL. To successfully apply MDE in a wide range of domains we need tools for fast implementation of the expected growing number of DSLs. Regarding the textual syntax of DSLs, we believe that most current proposals for bridging the world of models (MDE) and the world of grammars (Grammarware) are not completely adapted to this need. We propose a generative solution based on a DSL called TCS (Textual Concrete Syntax). Specifications expressed in TCS are used to automatically generate tools for model-to-text and text-to-model transformations. the proposed approach is illustrated by a case study in the definition of a telephony language. Copyright © 2006 ACM.

关键词： Syntactics

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Design of a cyber-physical system using STEM: Chicken egg incubator 5

Design of a cyber-physical system using STEM: Chicken egg in...

引用

5th international conference on engineering, Applied sciences and Technology, ICEAST 2019

作者： Tangsuknirundorn, Pirapat Sooraksa, Pitikhate Department of Computer Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok10520 Thailand

ISBN: (纸本)9781728100678

In this paper, STEM approach to study, design and implement chicken egg incubator as a cyber-physical system is demonstrated. In science viewpoint (S), bringing a life to earth can provide magnificent feeling that inspires students to learn more about life sciences. In views of technology (T), the students learn how to design and use micro-controllers, sensors and other components. Specifically the students also develop programming skills in controlling optimal ventilation, temperature and relative humidity for incubators in order to hatch chicken eggs. In engineering and Mathematically (EM), Kalman filter is adopted to estimate the states from a series of noisy measurements. According to our experiment, based on the survey questionnaire, the learning outcomes are satisfied. © 2019 IEEE.

关键词： Students

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Optimization of GM (1,1) model based on bilevel programming

Optimization of GM (1,1) model based on bilevel programming

引用

2013 5th international conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

作者： Chen, Bolin Ke, Hongfa School of Optoelectronic Engineering Changchun University of Science and Technology Changchun China Laboratory of Complex Electronic System Simulation Academy of Equipment Beijing China

ISBN: (纸本)9780769550114

GM (1, 1) is a biased grey exponential model, whose accuracy depends on the structure of background values and the selection of original conditions. Current literatures optimized GM (1, 1) models just by optimizing background values or original conditions separately, or by combining them jointly. However, these methods all ignored the accumulative errors between the optimization of background value and the optimization of original condition. Besides, they can not reflect the dynamic characteristics of the data sequence. Considering the accumulation and spread of the error between the optimization of background value and that of original condition, a new optimized model of GM (1, 1) Based on bilevel programming is put forward. the bilevel programming model is set up on the basis of two objective functions which minimize the square sum of relative errors. Various weights are optimized for individual data sequence. Furthermore, a validity analysis method Based on the grey relational degree between simulation data sequence and the original one is introduced. the simulation results show that the proposed model has extremely high fitting accuracy regardless of the scale of development coefficient. Both of approachability and similarity of the simulation data sequence to the original one reach the best. © 2013 IEEE.

关键词： Errors

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Using logic rules for concept refinement learning in first order logic

Using logic rules for concept refinement learning in first o...

引用

2010 IEEE 5th international conference on Bio-Inspired Computing: theories and Applications, BIC-TA 2010

作者： Shi, Zhenguo Liu, Zongtian Chen, Jianping School of Computer Science and Technology Nantong University Nantong 226019 China School of Computer Engineering and Science Shanghai University Shanghai 200072 China

ISBN: (纸本)9781424464388

In this paper,it has been explored that the use of logic rules as key element in concept refinement Learning.A logic rule is a formal grammar in logic for expressing formation rules of a formal language. First order logic in Inductive Logic programming(ILP) and programming language in Genetic programming(GP) are formal languages,the logic rule is available to express syntax and semantics of them. Concept refinement learning including inductive concept learning by employing ILP and evolutionary concept learning by employing GP.A framework is presented that combining ILP and GP using logic rules for concept refinement learning in first order logic. the viability of our approach is illustrated by comparing the performance of our learner with that of other concept learners such as Progol,CfgGP,GGP on a variety of target *** conclude with some observations about the merits of our approach and about possible extensions. © 2010 IEEE.

关键词： Genetic programming

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A Critical Region Search Based Distributed Coordination Algorithm for Integrated Electric and District Heating System Dispatch 5

A Critical Region Search Based Distributed Coordination Algo...

引用

5th international conference on Energy, Electrical and Power engineering, CEEPE 2022

作者： Yang, Chang Li, Zhengshuo Shandong University School of Electrical Engineering Jinan China

ISBN: (纸本)9781665479059

Integrated electric and district heating systems (IEHSs) have attracted increasing attention in recent years. Due to data privacy, it is challenging to exchange detailed topology or operation states between electric power system (EPS) and district heating system (DHS), so it is necessary to carry out distributed coordination optimization for the IEHS dispatch problem. In this paper, based on multi-parametric programming, a critical region search (CRS)-based distributed coordination algorithm is proposed for the IEHS dispatch problem, which considers the boundary variables as the parameters of subproblems. To circumvent the "curse of dimensionality"in traditional multi-parametric programming, the CRS-based distributed algorithm does not construct the entire critical region but iteratively finds the desired region. During the CRS process, the coefficient matrix of the subproblem's KKT equations can be singular, so this paper further proposes a method of quickly finding the maximal linearly independent group to solve the problem of the singular coefficient matrix. Simulation results show that the iterative times of the proposed algorithm are significantly reduced compared with the alternating direction method of multipliers (ADMM) algorithm, the auxiliary problem principle algorithm, and adaptive step-size ADMM algorithm and it also has better convergence than the heterogeneous decomposition and new heterogeneous decomposition method. © 2022 IEEE.

关键词： Uncertainty Simulation programming Wind power generation Search problems Convex functions Power systems

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