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International Asia Conference on Informatics in Control, Automation and Robotics

作者： Zhao Xingwen Jiang Lili Xi Xiaoying Li Muzhi Guangdong Univ Technol Fac Electromech Engn Guangzhou Guangdong Peoples R China

ISBN: (纸本)9780769535197

In CITIS (Contractor Integrated Technical Information Service) collaborative manufacturing project, how the prime contractor reasonably chooses cooperative enterprises and assigns tasks among them will directly effects on gaining benefit from the project. To solve this problem, in this paper, a new heuristic optimization algorithm is proposed for tasks assignment, which objectives are minimizing costs and reducing the number of enterprises selected based on the minimization of project time. Finally, the algorithm is varied through an example, and the evaluation for it is given.

关键词： CITIS collaborative manufacturing task assignment optimization algorithm

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Finite Element Model Updating of Bridge Structures Based on Sensitivity Analysis and optimization algorithm

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Wuhan University Journal of Natural Sciences 2008年第1期13卷 87-92页

作者： HUANG Minshui ZHU Hongping School of Civil Engineering and Mechanics Huazhong University of Science and Technology Wuhan 430074 Hubei China Hubei Key Laboratory of Control Structure Huazhong University of Science and Technology Wuhan 430074 Hubei China

The dynamic characteristics of bridge structures, such as the natural frequencies, mode shapes and model damping ratio, are the basis of structural dynamic computation, seismic analysis, vibration control and structural health condition monitoring. In this paper, a three-dimensional finite-element model is established for a highway bridge over a railway on No.312 National Highway and the ambient test is carried out in site, the dynamic characteristics of the bridge are studied using the finite-element analysis and ambient vibration measurements. Comparison between the theoretical and experimental results shows that the frequency differences of the modes range between 0.44% and 8.77%. If the measurement is more reliable, the finite element model updating is necessary. Thus, a set of design variables is selected based on sensitivity analysis, then the finite element model of the bridge is updated based on optimization algorithm. The results of model updating show that the proposed updating method in this paper is more simple and effective, the updated finite element model can reflect the dynamic characteristics of the bridge better, the analytical results can provide the theoretical basis for damage identification and health condition monitoring of the bridge.

关键词： sensitivity analysis optimization algorithm model updating bridge structure

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Merged Biogeography-Based optimization algorithm for Color Image Segmentation 17

Merged Biogeography-Based Optimization Algorithm for Color I...

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17th IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC)

作者： Zhang, Lingzhi Xie, Xiaohan Univ Manchester Sch Environm Educ & Dev Manchester Lancs England Shandong Prov Tengzhou 1 High Sch Tengzhou Peoples R China

ISBN: (纸本)9781728186160

Image segmentation is an important step in image processing. Segmentation based on threshold is a common method. Searching the suitable threshold vector is essentially an optimization problem, especially for color image which have higher dimensions and complexity. This paper proposes a merged Biogeography-Based optimization algorithm (MBBO) for color image segmentation based on threshold. We merge a mutation operation into the migration operator of BBO to enhance the global search ability. Then we merge a chemotaxis operation into the mutation operator of BBO to enhance the local search ability. A greedy selection method is also used to further improve the performance and reduce computation complexity. Experimental results show that MBBO obtains better optimization performance, stronger stability and faster running speed compared with other existing algorithms.

关键词： optimization algorithm Biogeography-Based optimization algorithm Image Segmentation Kapur Entropy

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An Efficient optimization algorithm for Structured Sparse CCA, with Applications to eQTL Mapping

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STATISTICS IN BIOSCIENCES 2012年第1期4卷 3-26页

作者： Chen, Xi Liu, Han Carnegie Mellon Univ Machine Learning Dept Pittsburg KS 15213 USA Johns Hopkins Univ Comp Sci Dept Biostat Dept Baltimore MD USA

In this paper we develop an efficient optimization algorithm for solving canonical correlation analysis (CCA) with complex structured-sparsity-inducing penalties, including overlapping-group-lasso penalty and network-based fusion penalty. We apply the proposed algorithm to an important genome-wide association study problem, eQTL mapping. We show that, with the efficient optimization algorithm, one can easily incorporate rich structural information among genes into the sparse CCA framework, which improves the interpretability of the results obtained. Our optimization algorithm is based on a general excessive gap optimization framework and can scale up to millions of variables. We demonstrate the effectiveness of our algorithm on both simulated and real eQTL datasets.

关键词： Sparse CCA Structured sparsity Group structure Network structure Genome-wide association study eQTL mapping optimization algorithm

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An Improved Particle Swarm optimization algorithm

An Improved Particle Swarm Optimization Algorithm

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2nd International Conference on Advanced Engineering Materials and Technology (AEMT)

作者： Na, Risu Li, Qiang Wu, Liji Inner Mongolia Univ Technol Coll Mech Hohhot 010051 Peoples R China North China Univ Technol Coll Mech & Elect Engn Beijing 100144 Peoples R China Inner Mongolia Univ Technol Coll Sci Hohhot 010051 Peoples R China

ISBN: (纸本)9783037854471

Based on the standard particle swarm optimization an improved PSO algorithm was introduced in this paper. The particle swarm optimization algorithm with prior low precision, divergent character and slow late convergence is improved by joining the negative gradient. By adding negative term on standard PSO formula, combining with coefficient of negative gradient term and inertia weight omega, lead to effectively balance between the local and global search ability. It will accelerate convergence and avoid local optimum. Moreover, from the bionic point of view, this improved PSO algorithm is closer to the reality of the actual situation of the bird flocking. From the simulation results of four typical test functions, it can be seen that an improved particle swarm optimization with negative gradient can significantly improve the solving speed and solution quality.

关键词： particle swarm optimization swarm intelligence optimization algorithm inertia weight negative gradient

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Estimation method of cable tension based on iterative algorithm and optimization algorithm

Estimation method of cable tension based on iterative algori...

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3rd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2013)

作者： Huang, Yong-hui Luo, De-quan Rao, Rui Guangzhou Univ Guangzhou Univ Tamkang Univ Joint Res Ctr Engn St Guangzhou 510006 Guangdong Peoples R China South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510640 Peoples R China

ISBN: (纸本)9783037857755

The vibration method is usually used for field measurement of cable tension of cable system bridges. The cable tension evaluation method is mostly based on the simple taut string theory. However, the simple theory may cause unacceptable errors in many applications especially for the cables with big bending stiffness and two ends fixed boundary conditions. In this paper a cable tension estimation method based on iterative algorithm and optimization algorithm is presented and implemented using finite element method and ANSYS soft ware. Compared with the analytical method and empirical formulas the method presented in this paper is more convenient and the application range is more extensive. The accuracy of the method has been verified by a set of test. In the end, the method is used to estimate the cable tension of a tied-arch bridge's suspenders.

关键词： Cable tension estimation frequency method iterative algorithm optimization algorithm

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Application of MultiCast Tree Concept to Cloud security with optimization algorithm for Node Search Technique

Application of MultiCast Tree Concept to Cloud security with...

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International Conference on Electrical, Electronics, Signals, Communication and optimization (EESCO)

作者： Roy, Neelanjana Basu Das, Debasis NIIT Univ Dept Comp Sci & Engn Alwar 301705 Rajasthan India

ISBN: (纸本)9781479976782

This paper attempts to find an optimization algorithm to reduce number of iterations required for a node to be searched in a MultiCast Tee network. After effectively searching the node, it applies this technique in cloud computing, more exactly, cloud information security so that data is safely transferred from one user to another, without any hindrance. The basic idea to incorporate the concept of MultiCast Tree is because it always supports reliable transmission of information, if by any chance, there is a link failure, it does not reduce the availability of resources, nor does it increase any delay in transmission of information, and at the same time minimizes work load. Thus, we can effectively use it in cloud computing, which is nothing but provision of resources to a pool of users through some kind of an interface, for example, Internet. While monitoring the distributed foundation establishment of cloud computing, it becomes extremely important to take into consideration the security of the information provided by users. If we use a vast number of nodes or links, it becomes practically impossible to trace the reliability of transmission, and which might result in important information getting lost. Hence to avoid such a consequence, it becomes necessary to optimize the number of these links, so that it becomes easier to search them in a minimum amount of time. Our main attempt has been to optimize these links and effectively use it in a communication network which has characteristics of a MultiCast Tree incorporated in it. This not only helps in efficient use of cloud computing system, but also ensures users that their data is in safe hands.

关键词： Multicast tree optimization algorithm cloud information security multicast tree node cloud computing

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Particle Swarm optimization algorithm in Power Line Overhaul System Control

Particle Swarm Optimization Algorithm in Power Line Overhaul...

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20th Chinese Control and Decision Conference

作者： Liu, Jia Li, Yang Gao, Liqun Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Peoples R China

ISBN: (纸本)9781424417339

Electric power line overhaul plan is an important issue on power system and engineering practice. As particle swarm optimization is to be a new intelligent algorithm. It has been gradually applied into power system these years. This paper provides a relative mathematical model to solve the problems in power line overhaul. Particle swarm optimization algorithm has advantages of that less parameters setting and highly optimizing speed. Take into account these advantages, we make an optimal order of electric power line overhaul. It is proved that the application of particle swarm optimization algorithm to electric power line overhaul plan is feasible.

关键词： Electric power line overhaul plan particle swarm algorithm optimization algorithm power system

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Digital audio codec based on the improved optimization algorithm of adaptive wavelets and dynamic bits allocation scheme

Digital audio codec based on the improved optimization algor...

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3rd International Conference on Signal Processing (ICSP 96)

作者： Xiong, XB Zhao, EY Department of Telecommunications Engineering Beijing University슠of Posts and슠Telecommunications

ISBN: (纸本)7505338900

This paper presents the idea of optimization algorithm of adaptive wavelets that can improve the coding algorithm to decrease the computation complexity to ten percent of that presented in the paper[5]. The full optimization of adaptive wavelets is replaced by the new method, in which the optimization is divided into two cascaded steps. And the entropy-coding-based quantization of side information is adopted so that tile bit rate is significantly reduced because it accounts for a plenty of percent of bit costs. The bit rate can decrease about 15 percent of that presented ill paper [8] by taking the method. It also coordinates with psycho-acoustics model and dynamic bits allocation scheme to make the coding noise inaudible under the condition of the least bits cost.

关键词： digital communication codecs audio coding entropy codes quantisation (signal) adaptive signal processing wavelet transforms optimisation computational complexity digital audio codec optimization algorithm adaptive wavelets dynamic bit allocation coding algorithm computational complexity reduction entropy coding based quantization side information bit rate reduction psychoacoustics model coding noise bit costs

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Enhance the Efficiency of Sheet Beam TWT with Advanced optimization algorithm 21

Enhance the Efficiency of Sheet Beam TWT with Advanced Optim...

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21st IEEE International Conference on Vacuum Electronics (IVEC)

作者： Liu, Zeng Wang, Jianxun Wan, Yixin Liu, Qiang Luo, Yong Univ Elect Sci & Technol China Sch Elect Sci & Engn Chengdu Peoples R China

ISBN: (纸本)9781538682883

The sheet beam traveling-wave tube (SBTWT) with staggered double vane (SDV) structure has attracted much attention as a board band and powerful terahertz and millimeter-wave source. In this paper, the velocity taper for SDV structure is optimized with a recently proposed swarm-intelligence (SI) based optimization algorithm named dragonfly algorithm (DA) in order to enhance the beam-wave interaction efficiency in sheet beam TWT. The optimization result of this algorithm is compared with other commonly used algorithms. The taper optimized with DA is verified with CST particle in cell (PIC) simulations. The efficiency of the optimized structure has been greatly increased in both optimization and PIC simulations.

关键词： sheet beam optimization algorithm traveling-wave tube efficiency

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