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 local computer networks. A solution method using a node-o...
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ISBN:
(纸本)0769520375
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 local computer networks. A solution method using a node-oriented branch and bound technique is introduced and its performance is presented. We show the advantages of the algorithm while illustrating the process of searching for the optimal solution. Techniques for finding tighter lower bounds are emphasized. Computational experiences demonstrate the algorithm's effectiveness.
In this paper, we formulate an optimization problem for the design of light-tree based logical topology in wavelength division multiplexing (WDM) networks. The problem is comprised of two parts: (1) multicast routing ...
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In this paper, we formulate an optimization problem for the design of light-tree based logical topology in wavelength division multiplexing (WDM) networks. The problem is comprised of two parts: (1) multicast routing and wavelength assignment of light-trees, and (2) the design of light-tree based logical topology for multicast streams. In the first part, we use mixed integer linear programming (MILP) to solve the optimal routing and wavelength assignment problem of light-trees with an end-to-end delay bound, and obtain the optimal placement of power splitters and wavelength converters. The numerical results show that networks with just a few power splitters and wavelength converters can efficiently carry multicast data. In the second part, we extend the above formulation to design the logical topology based on light-trees for multicast streams. In our approach, a light-tree can carry data of multiple multicast streams, and data of a multicast stream may traverse multiple light-trees to reach a receiver. The numerical results show that our approach use network resources more efficiently, as compared to the approach with a separate light-tree for a multicast stream and to the approach of transporting multicast streams over lightpath based logical networks.
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 local computer networks. A solution method using a node-o...
详细信息
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 local computer networks. A solution method using a node-oriented branch and bound technique is introduced and its performance is presented. We show the advantages of the algorithm while illustrating the process of searching for the optimal solution. Techniques for finding tighter lower bounds are emphasized. Computational experiences demonstrate the algorithm's effectiveness.
With many train operating companies sharing limited capacity on the UK rail network, the train timetabling problem is complex and difficult to solve. This paper reports on a cooperative coevolutionary approach for the...
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With many train operating companies sharing limited capacity on the UK rail network, the train timetabling problem is complex and difficult to solve. This paper reports on a cooperative coevolutionary approach for the automatic generation of planning train timetables at the early stages of the timetabling process, when the main objective is to try to accommodate the bids as much as possible and to identify the major conflicts that need resolving by negotiations with the train operating companies. Some test experiments based on artificial problem instances as well as a real network are discussed.
This paper presents an IP-based System-on-Chip (SoC) synthesis framework focusing on how to select intellectual properties (IP's) from different sources and how to integrate the selected IP's using on-chip bus...
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ISBN:
(纸本)0780377613
This paper presents an IP-based System-on-Chip (SoC) synthesis framework focusing on how to select intellectual properties (IP's) from different sources and how to integrate the selected IP's using on-chip buses. In order to synthesize an on-chip bus-based SoC architecture using IP's with imprecise design costs, we propose a possibilistic mixed integer linear programming (PMILP) model, which is converted into an equivalent mixed integer linear programming (MILP) model without increasing the computational complexity. Experimental results on an MP3 decoding system show that the IP-centric design space with uncertainty can be successfully explored using the proposed scheme.
Energy conservation is a critical issue in wireless multi-hop networks since the nodes are powered by batteries only. One major metric for energy conservation is to route a communication session along the routes which...
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Energy conservation is a critical issue in wireless multi-hop networks since the nodes are powered by batteries only. One major metric for energy conservation is to route a communication session along the routes which requires the lowest total energy consumption. In this paper, based on the concepts of virtual relay, we present a constraint formulation for the minimum-energy broadcast routing problem in terms of mixed integer linear programming (MIP). Moreover the model extends its analytical capability into more general scenarios in asymmetric networks, where few studies have addressed the broadcast routing problem before. The experiment results show that in a typical multi-hop network with node less than 50, optimal solution can be always solved in a timely manner, and save up to 30% power consumption compared to the most efficient heuristic algorithm BIP known so far.
This paper presents a method for short-term hydro scheduling. The objective is to determine a feasible operation of a set of coupled hydro units, fulfilling the aggregate requirements obtained from a higher-level hydr...
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This paper presents a method for short-term hydro scheduling. The objective is to determine a feasible operation of a set of coupled hydro units, fulfilling the aggregate requirements obtained from a higher-level hydrothermal coordination tool. In order to take into account the nonlinear relationship among the electrical power, the net head and the turbine water discharge, an under-relaxed iterative procedure is proposed. The performance of this algorithm enhances previous research works as possible diverging oscillations are damped in order to reach the convergence. Therefore, the net heads used to build the power/discharge curves of the head dependent units are determined using previous iterations results. This way, each stage can be solved by means of a MILP optimization problem where binary variables allow modeling the discrete hydro unit-commitment decisions. The process finishes when the maximum gap between the reservoir levels of two consecutive iterations satisfies the convergence tolerance. A case study is also presented to show its application to a real size hydro chain.
In a competitive electricity market, generation companies have to maximize their benefits selecting the best strategy; therefore it is convenient to previously know the resulting spot prices. This paper presents a mod...
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In a competitive electricity market, generation companies have to maximize their benefits selecting the best strategy; therefore it is convenient to previously know the resulting spot prices. This paper presents a model to determine market clearing prices and hourly generation levels of each participant over a 24-hour period, including hydrothermal constraints. The optimal competitive market equilibrium problem is formulated as a large-scale mixed integer linear programming algorithm and is solved by using an optimization package. The model incorporates the following elements: thermal plants (maximum up and down ramp), hydro units, hydro systems (cascaded reservoirs, spillway flow, generator I/O characteristic), and inelastic demand. Numerical tests of a day ahead market are presented.
In process control fields it is hard to build precise model due to complexity and nonlinear of industrial process. To solve this problem, this paper proposes a framework for modeling and controlling systems integratin...
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ISBN:
(纸本)0780379527
In process control fields it is hard to build precise model due to complexity and nonlinear of industrial process. To solve this problem, this paper proposes a framework for modeling and controlling systems integrating continuous variable linear model and rules. A predictive control scheme is proposed which is able to stabilize this framework on desired reference trajectories. This problem can be solved as mixed-integerlinearprogramming/ Constraint programming (MILP/CP). We use MILP to optimize and find partial solutions and CP to check feasibility and produce complete solutions. An example demonstrates how problems can be modeled and solved using this framework.
This work presents a novel extension of the targeting methods front pinch analysis to aggregate planning in supply chains. Aggregate planning aims at meeting demand over a specified time horizon in a way that maximize...
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This work presents a novel extension of the targeting methods front pinch analysis to aggregate planning in supply chains. Aggregate planning aims at meeting demand over a specified time horizon in a way that maximizes profit through optimal levels of production, capacity, subcontracting, inventory, and stockouts. It is demonstrated how minimum production rates for a given demand forecast may be targeted through composite curves on a time versus material quantity plot. The grand composite curve (GCC) representation may be conveniently used to depict how surpluses and shortages in inventory fluctuate over time. The pinch corresponds to the point of minimum lead time and zero inventory. An example problem is used to illustrate the approach. The initial aggregate plan from pinch analysis exactly matches the solution reported in literature obtained by solving a linearprogramming formulation. On the other hand, the final aggregate plans from the pinch targeting method are superior to the solution in literature, as they are more realistic. It may be concluded that the production composite determined by the pinch targeting method provides either the best aggregate plan or an excellent starting point to reduce computational time for a solution by mixed integer linear programming.
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