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

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A Complete Framework of Simultaneous Functional Unit and Register Binding with Skew Scheduling

A Complete Framework of Simultaneous Functional Unit and Reg...

引用

12th International Symposium on Quality Electronic Design (ISQED)

作者： Kaneko, Mineo Japan Adv Inst Sci & Technol Sch Informat Sci Nomi Ishikawa 9231292 Japan

ISBN: (纸本)9781612849140

Intentional skew is known to be useful for improving clock frequency and/or tolerance to delay variations. This paper proposes a complete framework for treating skew schedule in the high level datapath synthesis. Major contributions include (1) the incorporation of timing issue on multiplexer-control into the skew scheduling problem (previously, only timing issue on register-control has been discussed, but it is incomplete for a datapath circuit which is controlled by control-signals to registers and multiplexers), and (2) a complete MILP (mixed integer linear programming) formulation of simultaneous functional unit (FU) binding and register incorporating with skew scheduling. Experimental examples demonstrate the correctness and the effectiveness of our framework.

关键词： Datapath synthesis resource binding skew mixed integer linear programming

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Optimizing microwind rural electrification projects. A case study in Peru

Optimizing microwind rural electrification projects. A case ...

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9th International Seminar in Optimization and Related Areas

作者： Ferrer-Marti, Laia Pastor, Rafael Miquel Capo, G. Velo, Enrique Tech Univ Catalonia Inst Ind & Control Engn Res Grp Ind Engn & Logist Res Grp Cooperat & Human Dev Barcelona 08028 Spain

Electrification systems based on the use of renewable energy sources are suitable for providing electricity to isolated communities autonomously. Specifically, electrification by wind power is one of the technological options that have been used recently in projects implemented in the Andean highlands of Peru. To date, these projects have tended to install individual microwind turbines at each demand point. Alternatively, we propose a solution that considers both individual generators and microgrids. We develop a mathematical model that gives the location and size or type of the wind turbines and the design of the microgrids, taking into account the demand of the consumption points and the wind potential. The criterion is the minimization of the initial investment cost required to meet the demand. The model is validated by application to a real case in the northern highlands of Peru. Results show that microgrids are used despite the village dispersion, and the solutions significantly reduce the initial investment costs.

关键词： mixed integer linear programming Microwind project Case study

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Long-term Scheduling of Cascaded Hydro Energy System with Distributed Water Usage Allocation Constraints

Long-term Scheduling of Cascaded Hydro Energy System with Di...

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General Meeting of the IEEE-Power-and-Energy-Society (PES)

作者： Tong, Bo Guan, Xiaohong Zhai, Qiaozhu Gao, Feng Xi An Jiao Tong Univ Syst Engn Inst SKLMS Lab MOE KLINNS Lab Xian 710049 Peoples R China

ISBN: (纸本)9781457710018

In a hydro energy and water resource system it is desirable to optimize hydropower production with considerations of flood control, residential, agricultural and industrial water supply, navigation, environmental and ecological requirements, etc.. Incorporating complicated constraints of cascaded reservoirs and government regulation on water resource usage allocation, this paper presents a long-term scheduling problem of hydro energy and water resource system based on chance-constrained programming with uncertainties of natural water inflows and water demands of different regions. The water usage regulation with uncertain natural inflow is modeled as probabilistic chance constraints. The nonlinear and noconvex hydro plant production function is converted into mixed integer formulation and a general mixed integer linear programming (MILP) method is applied to solve this complicated scheduling problem. Preliminary numerical testing results for a river basin with cascaded reservoirs show that based on the problem formulation presented in the paper, the long-term scheduling is solved efficiently and accurately. Numerical testing for a more complex hydro system is being conducted.

关键词： Cascaded hydro energy system chance-constrained programming long-term scheduling mixed integer linear programming

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Multiobjective and multimodal adaptive traffic light control on single junctions

Multiobjective and multimodal adaptive traffic light control...

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14th International IEEE Conference on Intelligent Transportation Systems (ITSC)

作者： Dujardin, Yann Boillot, Florence Vanderpooten, Daniel Vinant, Pierre Univ Paris 09 LAMSADE Pl Marechal Tassigny F-75116 Paris France Paris Est Univ IFSTTAR GRETTIA F-93166 Noisy Le Grand France

ISBN: (纸本)9781457721977

Most existing systems developed for traffic light control either consider a single objective or use a simple weighted sum to aggregate objectives. Three criteria are aggregated using an alternative way. The first two criteria refer to total delay dealing with two types of users with conflicting preferences: private vehicles and public transport vehicles. The third one (number of stops for private vehicles) aims at capturing pollution aspects. We propose a new mixed integer linear programming (MILP) formulation. Unlike most proposed MILP dealing with traffic light control problems, our main variables are traffic light switchover dates, during a time horizon. This permits a significant reduction of the number of variables. In order to take account of the traffic, we integrate this model within an interactive scheme, where information on the traffic is used periodically for adapting the control.

关键词： Adaptation models Approximation methods Delay Image processing Junctions MILP Switches Vehicles adaptive control delays integer programming linear programming mixed integer linear programming multimodal adaptive traffic light control multiobjective traffi

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A Hospital Admission Planning Model for Emergency and Elective Patients under Stochastic Resource Requirements and No-shows

A Hospital Admission Planning Model for Emergency and Electi...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

作者： Jittamai, Phongchai Kangwansura, Thirapan Suranaree Univ Technol Sch Ind Engn Nakhon Ratchasima Thailand

ISBN: (纸本)9781457707391

Hospital admission planning plays an important role for managing and allocating hospital resources by emphasizing on an optimal use of operating theater time. The objective of this work is to develop a mixed integer linear programming model in order to minimize the total absolute deviations of the operating room resource utilizations from their target utilizations for the multiple-day planning horizon. The stochastic resource requirements such as length of stay, emergency arrivals, and unattended patients (no-shows) are considered in the proposed formulation. The mathematical model was tested with a sample data set. Results show that the deviations from the target resource utilizations are decreased by 0%, 3.18%, 0.45%, and 3.00% for each type of hospital resources;namely, operating theater time, intensive- care beds, intensive-care nursing staff and medium-care beds, respectively. Moreover, the gap deviated from the overall target resource utilization is improved by 1%.

关键词： Hospital admission planning mixed integer linear programming emergency admission no-shows

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Solving the Resource Allocation Problem in a Multimodal Container Terminal as a Network Flow Problem

Solving the Resource Allocation Problem in a Multimodal Cont...

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2nd International Conference on Computational Logistics (ICCL 2011)

作者： Zehendner, Elisabeth Absi, Nabil Dauzere-Peres, Stephane Feillet, Dominique CMP Ecole Mines St Etienne F-13541 Gardanne France

ISBN: (纸本)9783642242632

Continuously increasing global container trade and pressure from a limited number of large shipping companies are enforcing the need for efficient container terminals. By using internal material handling resources efficiently, transfer times and operating costs are reduced. We focus our study on container terminals using straddle carriers (SC) for transportation and storage operations. We assume that SCs are shared among maritime and inland transport modes (truck, train, barge). The problem is thus to decide how many resources to allocate to each transport mode in order to minimize vehicle (vessel, truck, train, barge) delays. We present a mixed integer linear programming model, based on a network flow representation, to solve this allocation problem. The modular structure of the model enables us to represent different container terminals, transport modes and service strategies. We present parts of our model and exemplary applications for a terminal at the "Grand Port Maritime de Marseille" in France.

关键词： Container terminal resource allocation intermodal transportation mixed integer linear programming

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Batch Production Scheduling for Semiconductor Back-End Operations

Batch Production Scheduling for Semiconductor Back-End Opera...

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2010 IEEE/SEMI Conference on Advanced Semiconductor Manufacturing

作者： Fu, Mengying Askin, Ronald Fowler, John Haghnevis, Moeed Keng, Naiping Pettinato, Jeffrey S. Zhang, Muhong Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85281 USA Intel Corp Chandler AZ 85226 USA

A good production schedule in a semiconductor back-end facility is critical for the on time delivery of customer orders. However, the scheduling process is usually difficult due to the wide product mix, large number of parallel machines, product family-related setups, and high weekly demand consisting of thousands of lots. In this paper, we present a new mixed-integer-linear-programming (MILP) model for the batch production scheduling of a semiconductor back-end facility with serial production stages. Computational results are provided for finding optimal solutions to small problem instances. Due to the limitation on the solvable size of the MILP formulation, a deterministic scheduling system (DSS), including an optimizer and a scheduler, is proposed to provide suboptimal solutions in a reasonable time for large real-world problem instances. Small problem instances are randomly generated to compare the performances of the optimization model and the DSS. An experimental design is utilized to understand the behavior of the DSS under different production scenarios.

关键词： Heuristic mixed integer linear programming scheduling semiconductor back-end

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Optimal Policies for Crude Oil Purchasing

Optimal Policies for Crude Oil Purchasing

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International Conference on Advanced Design and Manufacturing Engineering (ADME 2011)

作者： Liu, Guoli Zhao, Jun Wang, Wei Univ Sci & Technol Liaoning Sch Sci Anshan 114051 Peoples R China Dalian Univ Technol Res Ctr Informat & Control Dalian 116012 Peoples R China

ISBN: (纸本)9783037852156

Since crude oil purchasing accounts for the largest part of the total costs in the petroleum industry, improving the efficiency of the process is of great significance in economy. In this paper, a novel mixed integer linear programming model is formulated for a large typical oil refinery to determine the purchasing, inventory and transportation quantities over a multi-period horizon while taking into account all the practical features of crude oil purchasing. The objective of the model is to minimize the total costs attributed to crude oil purchasing, i.e. the sum of ordering, purchasing, inventory and transportation costs. The constraints related to bill of materials, different capacities and different transportation modes are considered. A numerical example indicates the extensive application of the presented model.

关键词： Petroleum industry Crude oil purchasing mixed integer linear programming

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Event-based MILP models for resource-constrained project scheduling problems

Event-based MILP models for resource-constrained project sch...

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11th International Workshop on Project Management and Scheduling

作者： Kone, Oumar Artigues, Christian Lopez, Pierre Mongeau, Marcel CNRS LAAS F-31077 Toulouse France Univ Toulouse UPS INSA INPISAELAAS F-31077 Toulouse France Univ Toulouse UPS INSA UTMInst Math ToulouseUT1 F-31077 Toulouse France CNRS Inst Math Toulouse UMR 5219 F-31062 Toulouse France

In this paper we make a comparative study of several mixed integer linear programming (MILP) formulations for resource-constrained project scheduling problems (RCPSPs). First, we present three discrete and continuous time MILP formulations issued from the literature. Second, instead of relying on the traditional discretization of the time horizon, we propose MILP formulations for the RCPSP based on the concept of event: the Start/End formulation and the On/Off formulation. These formulations present the advantage of involving fewer variables than the formulations indexed by time. Because the variables of this type of formulations are not function of the time horizon, we have a better capacity to deal with instances of very large scheduling horizon. Finally, we illustrate our contribution with a series of tests on various types of instance with the MILP formulations issued from the literature, together with our new formulations. We also compare our results with a recent RCPSP-specific exact method. We show that, in terms of exact solving, no MILP formulation class dominates the other ones and that a state-of-the art specialized (non-MILP) method for the RCPSP is even outperformed by MILP on a set of hard instances. Furthermore, on another set of hard "highly cumulative" RCPSP instances with a high processing time range, our On/Off formulation outperforms all the others MILP formulations and obtains results close to the ones of the specialized method. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Resource-constrained project scheduling mixed integer linear programming Project management

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Optimal Policies for Crude Oil Selection

Optimal Policies for Crude Oil Selection

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International Conference on Materials and Products Manufacturing Technology (ICMPMT 2011)

作者： Liu, Guoli Zhao, Jun Wang, Wei Univ Sci & Technol Liaoning Sch Sci Anshan 114051 Peoples R China Dalian Univ Technol Res Ctr Informat & Control Dalian 116024 Peoples R China

ISBN: (纸本)9783037852491

In this paper, we investigate the crude oil selection problem derived from the production of a large typical oil refinery. A deterministic mixed integer programming model for making purchasing decisions in the refinery is proposed in which practical transportation requirements are considered. The objective is to select the varieties of crude oil and determine the purchasing, production and inventory quantities under complicated material-balance constraints and capacity constraints for minimizing the sum of purchasing, order, inventory and transportation costs. A numerical example indicates the extensive application of the presented model.

关键词： Petroleum industry Crude oil selection mixed integer linear programming

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