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检索条件"主题词=mixed integer Linear programming"

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Performance Study of Optimal Routing and Channel Assignment in Wireless Mesh Networks

Performance Study of Optimal Routing and Channel Assignment ...

引用

IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference

作者： Ching-Ju Lin Sung-Han Lin Cheng-Fu Chou Graduate Institute of Networking and Multimedia National Taiwan University Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

In multi-channel wireless mesh networks (WMNs), the routing and channel assignment can interdependently determine network capacity. However, joint routing and channel assignment (JRC) is a challenging problem since it must satisfy the Radio Constraint , the Channel Constraint, and the Co-channel Interference Constraint . Recently, many heuristic or suboptimization algorithms have been proposed to address the JRC problem. The aim of this paper is to preform a comprehensive performance study to fairly compare the different approaches. To achieve this goal, a proper benchmark, a mixed integer linear programming (MILP) model that can optimally configure the routing and channel assignment to get maximum achievable network capacity, is provided in this work as well. The proposed MILP model can help system designers quantitatively evaluate existing heuristic methods and make a better decision by considering the tradeoff between the characteristics of various schemes according to the system requirements.

关键词： Routing Wireless mesh networks Interference constraints Interchannel interference Heuristic algorithms mixed integer linear programming Aggregates Throughput Computer science Preforms

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An Efficient Node Partitioning Algorithm for the Capacitated Minimum Spanning Tree Problem

An Efficient Node Partitioning Algorithm for the Capacitated...

引用

International Conference on Computer and Information Science (ACIS)

作者： Jun Han Zhaohao Sun Jinpeng Huai Xian Li School of Computer Science & Engineering Beihang University China School of Economics and Information Systems University of Wollongong Australia

This paper studies the capacitated minimum spanning tree (CMST) problem, which is one of the most fundamental and significant problems in the optimal design of communication networks. A solution method using combined neighborhood search and branch and bound technique is introduced and its performance is presented. The advantage of the algorithm is shown while the process of searching for the optimal solution is illustrated. Computational experiences demonstrate that the proposed strategy significantly improves the efficiency of the previous node-orientated branch and bound algorithm.

关键词： Partitioning algorithms Costs Tree graphs Communication networks Sun Computer science Design engineering Information systems Algorithm design and analysis mixed integer linear programming

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Optimal Control of Formation Flight Based on MLD Systems

Optimal Control of Formation Flight Based on MLD Systems

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IEEE Conference on Control Technology and Applications (CCTA)

作者： Miao Du Yuh Yamashita Graduate School of Information Science and Technology Hokkaido University Sapporo Japan

In this paper, formation flight is modeled as a mixed logical dynamical (MLD) system, which is described by linear equations subject to linear inequalities involving real and integer variables. This model is built by discretizing the continuous-time nonlinear kinematical equations of formation flight system through the Euler method, quantizing its physical input variables, and integrating operating constraints. The control objective is to maintain the relative positions and orientations between aircraft close to their desired values to keep a formation geometry without potential collisions despite the maneuvering of the leader. The resulting MLD system of formation flight can be governed by the mixed integer predictive control (MIPC) law, and the optimal predictive control input can be obtained by solving an equivalent mixed integer linear programming (MILP) problem. This MLD model essentially considers the three dimensional motion of aircraft. The effectiveness of this method is demonstrated by simulation results.

关键词： Optimal control Aircraft Aerospace control Nonlinear equations Input variables Predictive control Piecewise linear approximation Control system synthesis Geometry mixed integer linear programming

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Multi-Periods Optimization Strategy for Wireless Network Deployment

Multi-Periods Optimization Strategy for Wireless Network Dep...

引用

IEEE Conference on Wireless Communications and Networking

作者： Qi Ming Wu Yong Huat Chew Boon Sain Yeo Institute for Infocomm Research Singapore National University of Singapore Singapore

The deployment of wireless networks needs to consider both the cost and system performance metrics. The design objective is to decide the optimal placement of access points (or base stations) and to assign the available radio resources to respective traffic demand points with guaranteed performance, while keeping the deployment cost at its minimum. However, we feel that it would be better to adopt a design which can achieve long-term optimal rather than just at the instant of deployment. This paper set up a platform to look into the deployment of wireless networks which is able to optimize the profit generated over multiple periods each with different spatial traffic demands. Given a set of candidate sites, we first derive the placement and compute the transmission power of the access points to support a given spatial traffic demand over a specific period of time. The problem was formulated using a mixed integer linear programming model. Adjustable transmission range is made possible through power control to minimize the amount of interference among neighboring access points. With the knowledge on the projected demand traffic in subsequent periods, algorithms to maximize the long term profit are developed, both when the projected traffic are probabilistic and deterministic.

关键词： Wireless networks Traffic control Telecommunication traffic System performance Femtocell networks Cost function Communication system traffic control mixed integer linear programming Power control Interference

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Interconnect Customization for a Coarse-grained Reconfigurable Fabric

Interconnect Customization for a Coarse-grained Reconfigurab...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Gayatri Mehta Justin Stander Mustafa Baz Brady Hunsaker Alex K. Jones Electrical and Computer Engineering University of Pittsburgh USA Industrial Engineering University of Pittsburgh USA

This paper describes several system-level interconnection strategies for a coarse-grained reconfigurable fabric designed for low-energy hardware acceleration. A small, representative sub-graph for signal and image processing applications is used to predict the success of mapping larger applications onto the fabric device with these different interconnection strategies, which include 32:1, 8:1, 5:1, 4:1, 3553:1 (3:1, 5:1, 5:1, 3:1) and 355:1 (3:1, 5:1, 5:1) cardinalities. Three mapping techniques are presented and used to complete mappings onto several of these fabric instances including a mixed integer linear programming technique, a constraint programming approach, and a greedy heuristic. We present results for area (in number of required rows), power, delay, and energy as well as run times for mapping a set of signal and image processing benchmarks onto each of these interconnects. Our results indicate that the 5:1 interconnect provides the best overall results and does not require any additional hardware resources than the baseline 4:1 technique. When compared with other implementation strategies, the reconfigurable fabric energy consumption, using 5:1-based interconnect, is within 5-10X of a direct ASIC implementation, is 10X better than an Virtex II Pro FPGA and is 100X better than an Intel XScale processor.

关键词： Fabrics Hardware Signal processing Image processing Signal mapping integer linear programming Acceleration mixed integer linear programming Delay Energy consumption

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Thermal-aware incremental floorplanning for 3D ICs

Thermal-aware incremental floorplanning for 3D ICs

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International Conference on ASIC

作者： Xin Li Yuchun Ma Xianlong Hong Sheqin Dong Department of Computer Science & Technology Tsinghua University Beijing China

Three dimensional integrated circuits (3 D ICs) are introduced as one way to address the bottlenecks from interconnect delays in sub-micro VLSI design. Despite their advantages over traditional 2 D ICs, the heat dissipation has become an extremely important issue in 3 D ICs. In this paper, a novel thermal-driven 3 D incremental floorplanning algorithm is proposed using the mixed integer linear programming (MILP) formulation. With our analytical approach, chip-area, wirelength and maximal on-chip temperature could be optimized simultaneously. Additionally, by the iterative modification flow, we can improve the packing result incrementally. Experimental results show that compared to the original floorplans, our incremental floorplans could reduce max on-chip temperature by about 27 % while chip area and total wirelength are enlarged just 1 % and 2 %, respectively.

关键词： Thermal conductivity Temperature Iterative algorithms Integrated circuit modeling Delay Algorithm design and analysis Heat transfer mixed integer linear programming Wire Cooling

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Model and algorithms for the Multicommodity Traveling Salesman Problem

Model and algorithms for the Multicommodity Traveling Salesm...

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International Conference on Hybrid Intelligent Systems (HIS)

作者： Joao Sarubbi Geraldo Robson Mateus Henrique Pacca Luna Gilberto Jr. de Miranda Federal University of Minas Gerais Brazil Federal University of Alagoas Brazil

We are introducing in this article the Multicommodity Traveling Salesman Problem (MTSP), where the objective is to deliver all the demands of different commodities by a tour that minimizes the sum of the fixed and variable costs for the selected arcs. The MTSP yields then a large scale mixed integer linear programming problem. In this article we devise a Lagrangean based heuristic approach to tackle this more general TSP variant.

关键词： Traveling salesman problems Lagrangian functions Vehicles Cost function Educational institutions Cities and towns Roads Hybrid intelligent systems Large-scale systems mixed integer linear programming

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An Optimal Algorithm for Low Power Multiplierless FIR Filter Design using Chebychev Criterion

An Optimal Algorithm for Low Power Multiplierless FIR Filter...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Georgios Karakonstantis Kaushik Roy School of Electrical and Computer Engineering Purdue University USA

In this paper, we propose a novel finite impulse response (FIR) filter design methodology that reduces the number of operations with a motivation to reduce power consumption and enhance performance. The novelty of our approach lies in the generation of filter coefficients such that they conform to a given low-power architecture, while meeting the given filter specifications. The proposed algorithm is formulated as a mixed integer linear programming problem that minimizes Chebychev error and synthesizes coefficients which consist of pre-specified alphabets. The new modified coefficients can be used for low-power VLSI implementation of vector scaling operations such as FIR filtering using computation sharing multiplier (CSHM). Simulations in 0.25 μm technology show that CSHM FIR filter architecture can result in 55% power and 34% speed improvement compared to carry save multiplier (CSAM) based filters.

关键词： Finite impulse response filter Algorithm design and analysis Design methodology Energy consumption mixed integer linear programming Very large scale integration Vectors Filtering Computational modeling Computer architecture

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Multi-metrics reconfiguration in core WDM networks

Multi-metrics reconfiguration in core WDM networks

引用

International Workshop on Design of Reliable Communication Networks (DRCN)

作者： Gurvan Huiban Pallab Datta MASCOTTE Team I3S-CNRS/INRIA/Université de Nice Sophia Antipolis Nice France Computer and Computational Sciences Division Los Alamos National Laboratory Los Alamos NM USA

We consider the reconfiguration problem in multi- fiber WDM optical networks. In a network with evolving traffic, the virtual topology may not remain optimal, leading to degradation of network performance. However, adapting the virtual topology to the changing traffic may lead to service disruption. This optimization problem hence captures the trade-off between network performance and number of reconfigurations applied to the virtual topology. This trade-off is considered via a multi- metrics approach. The above problem is solved through a mixed integer linear programming (MILP) formulation with a multivariate objective function. However the problem is NP-hard and such an approach is unable to solve large problem instances in a reasonable time. Therefore we propose a simulated annealing (SA) based heuristic approach for solving problems of higher complexity. We compare the performance and the computation time of solving the MILP model and the heuristic approach considering different test instances. We can find near optimal solutions for instances of medium complexity using the MILP model. The SA scheme can be used as a heuristic to arrive at near optimal solutions when the run-time of the MILP becomes practically infeasible. It also appears that the trade-off's involved in the reconfiguration problem cannot be left aside, as a little flexibility with respect to one metric allows to drastically improve the quality of the solution with respect to other metrics.

关键词： WDM networks Network topology Optical fiber networks Telecommunication traffic Wavelength division multiplexing Degradation mixed integer linear programming Computational modeling Simulated annealing Testing

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An Optimization Design for a Half-Closed-Loop Logistics Network with Uncertainty

An Optimization Design for a Half-Closed-Loop Logistics Netw...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Xiao-Hui Qin Huai-Zhen Ye Cheng-Hu Yang College of Logistics Southwest Jiaotong University Chengdu Sichuan China

A two-echelon half-closed-loop logistics network system is founded for the issue of manufacturing logistics network design, including supply and return channels. Considering the integration of the uncertainty and cycle time of the demand quantities of products and the return rates of used products, sites selection of potential logistics centers, plants and recycling plants, and transshipment problem, a stochastic, multi-time-step, capacitated mixed integer linear programming model is presented, the objective function makes total costs including fixed costs, transportation costs and storage costs in logistics centers minimize. Since such network design problems belong to a class of NP hard problems, a genetic algorithm approach-based heuristic to this model is presented. Finally a numerical example is used to prove the model and genetic algorithm validity.

关键词： Design optimization Logistics Uncertainty Cost function Genetic algorithms Manufacturing Recycling Stochastic processes mixed integer linear programming Road transportation

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