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检索条件"任意字段=Conference on High Performance Algorithms and Software for Nonlinear Optimization"

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A Novel Handover Mechanism Between Femtocell and Macrocell for LTE Based Networks

A Novel Handover Mechanism Between Femtocell and Macrocell f...

引用

International conference on Communication software and Networks, ICCSN

作者： Haijun Zhang Xiangming Wen Bo Wang Wei Zheng Yong Sun School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781424457267;9780769539614

The femtocell networks that use Home eNodeB and existing networks as backhaul connectivity can fulfill the upcoming demand of high data rate for wireless communication system as well as can extend the coverage area. It is also of interest to minimize operational effort by introducing self-optimizing mechanisms, and the optimization of the Home eNodeB involved handover is an important goal of LTE-Advanced. Since the different network architecture and functionality between Home eNodeB and LTE eNodeB, the handover procedure between the femtocell and macrocell should be modified in LTE network. In this paper, modified signaling procedure of handover is presented in the Home eNodeB gateway based femtocell network architecture. A new handover algorithm based on the UE's speed and QoS is proposed. The comparison between the proposed algorithm and the traditional handover algorithm shows that the algorithms proposed in this paper have a better performance in the reducing of unnecessary handovers and the number of handovers.

关键词： Macrocell networks Quality of service Femtocell networks Communication system software Sun Data engineering Wireless communication Long Term Evolution 3G mobile communication Radio access networks

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An Estimation of Distribution Algorithm Based Portfolio Selection Approach

An Estimation of Distribution Algorithm Based Portfolio Sele...

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International conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Rui-tian Xu Jun Zhang Ou Liu Rui-zhang Huang Department of C.S. Key Laboratory of Digital Life Ministry of Education Key Laboratory of Software Technology Education Department of Guangdong Province SUN Yat-sen University China Hong Kong Polytechnic University Hong Kong China

A portfolio selection problem is about finding an optimal scheme to allocate a fixed amount of capital to a set of available assets. The optimal scheme is very helpful for investors in making decisions. However, finding the optimal scheme is difficult and time-consuming especially when the number of assets is large and some actual investment constraints are considered. This paper proposes a new approach based on estimation of distribution algorithms (EDAs) for solving a cardinality constrained portfolio selection (CCPS) problem. The proposed algorithm, termed PBIL-CCPS, hybridizes an EDA called population-based incremental learning (PBIL) algorithm and a continuous PBIL (PBILc) algorithm, to optimize the selection of assets and the allocation of capital respectively. The proposed algorithm adopts an adaptive parameter control strategy and an elitist strategy. The performance of the proposed algorithm is compared with a genetic algorithm and a particle swarm optimization algorithm. The results demonstrate that the proposed algorithm can achieve a satisfactory result for portfolio selection and perform well in searching nondominated portfolios with high expected returns.

关键词： Portfolios Algorithm design and analysis Probabilistic logic Gallium optimization Investments Clustering algorithms

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optimization of fuzzy controller based on multi-parent crossover dynamic evolutionary algorithm

Optimization of fuzzy controller based on multi-parent cross...

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2010 International conference on Mechanic Automation and Control Engineering, MACE2010

作者： Xia, Xuewen Xiong, Zengang Li, Zhiming Li, Yuanxiang Dept. of Computer and Information Science Xiaogan College Xiaogan 432000 China State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China

ISBN: (纸本)9781424477388

Fuzzy control is a nonlinear control method;its performance depends on the fuzzy control rules, quantification factor and the scale factor. Because these multiple objectives are influence with each others, therefore it is very difficult to ensure the control effect only rely on expertise's experience. In this paper, dynamic evolutionary algorithm is adopted to optimize the multi-objectives in fuzzy controller. In dynamic evolutionary algorithm, based on the competitive relationship between particles' free energy and entropy in the phase space system, a new option strategy is put forward which is used to maintain species diversity;furthermore, multi-parent crossover operator is selected. This operator selects some individuals to form a space and then do searching in this space. This algorithm has strong ability to find the solutions of the problem, and it also run quickly compared with other traditional algorithms. Simulation results show that fuzzy controller optimized by the algorithm has good steady-state response time, steady-state error and overshoot. ©2010 IEEE.

关键词： Evolutionary algorithms

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Automation System for optimization of Vulcanization Accelerator Production

Automation System for Optimization of Vulcanization Accelera...

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The 2010 International conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)

作者： Xiaodong Zhang Xiujuan Li Ke Lu College of Electrical Engineering Henan University of Technology Zhengzhou China

This paper presents the design, development and implementation of an automation system of batch process suitable for vulcanization accelerator production applications. The unique feature of the accelerator production process is that it has complex nonlinear, time-varying and large time-delay characteristics. Based on its kinetics characteristics and technical analysis of the batch process, adaptive fuzzy PID controller is adopted to optimize the production performance. The hardware and software platform built on the multifunction process control equipment and SIMATIC PCS7 allows the real-time execution of the advanced process control techniques. Results obtained by the simulation execution of the proposed algorithms are also presented. The final experimental results show that it meets the control requirements of batch process for vulcanization accelerator production well.

关键词： Batch production systems Inductors Process control Automation Heating

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An Adaptive Replanning Mechanism for Dependable Service-Based Systems

An Adaptive Replanning Mechanism for Dependable Service-Base...

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IEEE International conference on e-Business Engineering (ICEBE)

作者： Jun Na Guo-hong Li Bin Zhang Li Zhang Zhi-liang Zhu Software College Northeastern University Shenyang China College of Information Science and Technology Northeastern University Shenyang China Northeastern University Shenyang Liaoning CN

A promising way to guarantee dependability of service-based systems (SBSs) is replanning service bindings dynamically with the environment changing. As embedded into system execution, such replanning process will directly affect the overall performance of SBSs. While various replanning techniques have been proposed up to now, it is still challenging that how to provide cost-effective replanning methods for high-quality SBSs. In this paper, we propose a practical solution by improving the flexibility of replanning and establish an adaptive replanning mechanism for that. This new mechanism places more emphasis on the cause-effect relationship among system execution states, solution space changes, replanning strategies and their potential effects in system adaptation, and focuses on improving the following three leading aspects, i.e. replanning trigger, search scope determination and service selection, which affect the actual cost and effect of replanning. The main idea and key algorithms for implementing this adaptive replanning mechanism are presented. Besides this, empirical study based on a load rate querying service is used to illustrate and evaluate our approach.

关键词： Heuristic algorithms Adaptation model Quality of service optimization Approximation algorithms Computational efficiency Measurement

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Controlling precision stepper motors in flight using (almost) no parts

Controlling precision stepper motors in flight using (almost...

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IEEE conference on Aerospace

作者： David Randall Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

This concept allows control of high-performance stepper motors with minimal parts count and minimal flight software complexity. Although it uses a small number of common flight-qualified parts and simple control algorithms, it is capable enough to meet demanding system requirements. Its programmable nature makes it trivial to implement changes to control algorithms both during integration & test and in flight. Enhancements such as microstepping, half stepping, back-emf compensation, and jitter reduction can be tailored to the requirements of a large variety of stepper motor based applications including filter wheels, focus mechanisms, antenna tracking subsystems, pointing and mobility. The hardware design (using an H-bridge motor controller IC) was adapted from JPL's MER mission, still operating on Mars. This concept has been fully developed and incorporated into the MCS instrument on MRO, currently operating in Mars orbit. It has been incorporated into the filter wheel mechanism and linear stage (focus) mechanism for the AMT instrument. On MCS/MRO, two of these circuits control the elevation and azimuth of the MCS telescope/radiometer assembly, allowing the instrument to continuously monitor the limb of the Martian atmosphere. Implementation on MCS/MRO resulted in a 4:1 reduction in the volume and mass required for the motor driver electronics (100:25 square inches of PCB space), producing a very compact instrument. In fact, all of the electronics for the MCS instrument are packaged within the movable instrument structure. It also saved approximately 3 Watts of power. Most importantly, the design enabled MCS to meet very its stringent maximum allowable torque disturbance requirements.

关键词： Instruments Wheels Mars Control systems Testing Jitter Micromotors Hardware nonlinear filters Circuits

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Apply modified method of nonlinear optimization to improve localization accuracy in WSN

Apply modified method of nonlinear optimization to improve l...

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5th International conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

作者： Haiqing, Jiang Renzhi, Cao Xingfu, Wang Department of Computer Science and Technology USTC Hefei 230027 China

ISBN: (纸本)9781424436934

As is known, location information is playing an important role in most application of WSN, and thus increasing the location accuracy is crucial to this application. However, most of the location refinement algorithms used at present cannot meet the requirement of WSN very well. The linear optimization can achieve small calculating amount at the cost of reducing the positioning accuracy. The traditional unconstrained nonlinear optimization has a better performance in accuracy but always demands large calculating amount. Basing on the principle of unconstrained nonlinear optimization and combining with the characteristics of WSN, this paper proposes two improved novel refinement algorithms: NSSD and MNSQN. Simulation results show that the algorithms proposed in the paper are efficient to relieve the contradiction between calculating amount and localization accuracy by improving the traditional algorithms. The two optimization methods have several advantages: high localization accuracy, relatively low calculating amount, without requiring extra communicational cost, etc. ©2009 IEEE.

关键词： Location

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performance optimization AND PARALLELIZATION OF TURBO DECODING FOR software-DEFINED RADIO

PERFORMANCE OPTIMIZATION AND PARALLELIZATION OF TURBO DECODI...

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22nd IEEE Canadian conference on Electrical and Computer Engineering

作者： Roth, Jonathan Manjikian, Naraig Sudharsanan, Subramania Queens Univ Dept Elect & Comp Engn Kingston ON K7L 3N6 Canada Digeo Inc Kirkland WA 98033 USA

ISBN: (纸本)9781424435098

This paper describes the optimization, parallelization, and simulated performance of a software double-binary turbo decoder implementation supporting the WiMAX standard suitable for software-defined radio (SDR). Turbo codes offer excellent error-correcting performance, but present high computational requirements, hence a parallel approach is desirable when seeking to exploit the flexibility of SDR. The development of a flexible parallel maximum a postiori (MAP) decoding algorithm is detailed, with simulation speedup results demonstrating good parallel efficiency (above 80%). For the same number of threads, a linear-log-MAP decoder implementation using 4 iterations was shown to be have nearly twice the throughput with comparable BER performance of a max-log-MAP decoder implementation using 8 iterations. In addition to parallel execution, other performance enhancements in software and through customized instructions provide a combined per-thread speedup of up to 57%.

关键词： parallel algorithms hardware simulation turbo decoding software-defined radio (SDR)

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Differential evolution versus particle swarm optimization for PID controller design

Differential evolution versus particle swarm optimization fo...

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5th International conference on Natural Computation, ICNC 2009

作者： Dong, Ruijun Department of Automation School of Mechanical and Electronic Engineering Xidian University Xi'an 710071 China

ISBN: (纸本)9780769537368

Differential evolution is a high-performance optimizer that is very easy to understand and implement. It is similar in some ways to genetic algorithms or evolutionary algorithms, but requires less computational bookkeeping and generally only a few lines of code. In this paper, a differential evolution optimizer is implemented and compared to a particle swarm optimization for control of a first-order process with a time delay, using fuzzy PID, and PID controller. The results show that the optimization scenarios are better suited to differential evolution versus the other. The differential evolution optimizer shares the ability of the genetic algorithm to handle arbitrary nonlinear cost functions, but with a much simpler implementation and a better performance it clearly demonstrates good possibilities for widespread use in controller optimization. © 2009 IEEE.

关键词： Genetic algorithms

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Hardware Architecture for Particle Swarm optimization using Floating-point Arithmetic

Hardware Architecture for Particle Swarm Optimization using ...

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9th International conference on Intelligent Systems Design and Applications

作者： Munoz, Daniel M. Llanos, Carlos H. Coelho, Leandro dos S. Ayala-Rincon, Mauricio Univ Brasilia Dept Mech Engn Automat & Control Grp GRACO Brasilia DF Brazil Pontificia Univ Catol Parana Ind & Syst Engn Grad Program LAS PPGPES Curitiba Parana Brazil Univ Brasilia Dept Comp Sci & Math BR-70910900 Brasilia DF Brazil

ISBN: (纸本)9781424447350

high computational cost for solving large engineering optimization problems point out the design of parallel optimization algorithms. Population based optimization algorithms provide parallel capabilities that can be explored by their implementations done directly in hardware. This paper presents a hardware implementation of Particle Swarm optimization algorithms using an efficient floating-point arithmetic which performs the computations with high precision. All the architectures are parameterizable by bit-width, allowing the designer to choose the suitable format according to the requirements of the optimization problem. Synthesis and simulation results demonstrate that the proposed architecture achieves satisfactory results obtaining a better performance in therms of elapsed time than conventional software implementations.

关键词： PSO FPGA Floating-point arithmetic

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