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检索条件"主题词=MIXED integer linear programming"

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Multi-Intersection Traffic Management for Autonomous Vehicles via Distributed mixed integer linear programming

Multi-Intersection Traffic Management for Autonomous Vehicle...

引用

American Control Conference

作者： Ashtiani, Faraz Fayazi, S. Alireza Vahidi, Ardalan Clemson Univ Dept Mech Engn Clemson SC 29634 USA

ISBN: (纸本)9781538654286

This paper extends our previous work in I and [2] on optimal scheduling of autonomous vehicle arrivals at intersections, from one to a grid of intersections. A scalable distributed mixed integer linear Program (MILP) is devised that solves the scheduling problem for a grid of intersections. A computational control node is allocated to each intersection and regularly receives position and velocity information from subscribed vehicles. Each node assigns an intersection access time to every subscribed vehicle by solving a local MILP. Neighboring intersections will coordinate with each other in real-time by sharing their solutions for vehicles' access times with each other. Our proposed approach is applied to a grid of intersections and its positive impact on traffic flow and vehicles' fuel economy is demonstrated in comparison to conventional intersection control scenarios.

关键词： Safety Autonomous vehicles Real-time systems Acceleration mixed integer linear programming Optimal scheduling"

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DETERMINATION OF THE PORT ATTRACTIVENESS USING mixed integer linear programming METHOD

DETERMINATION OF THE PORT ATTRACTIVENESS USING MIXED INTEGER...

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12th International Symposium on Operational Research (SOR '13)

作者： Kramberger, Tomaz Vizinger, Tea Intihar, Marko Chin, Anthony Univ Maribor Fac Logist Mariborska 7 Celje 3000 Slovenia Natl Univ Singapore Singapore 119077 Singapore

ISBN: (纸本)9789616165402

In this paper we present well know Port Choice Problem as a mixed integer linear Programing (MILP) problem. Using MILP we comapare North Adriatic ports with North European ports and determine their relative attractiveness for Bavarian shippers in case of importing containerized goods from far east. The results of the model show that despite better geographical position of North Adriatic ports Bavarian shippers are attracted to Nort European ports. The model also shows that land transport costs and subjective preferance rate play a large role in Port Choice.

关键词： mixed integer linear programming Port choice Port attractiveness

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The Planning of Distribution Network Containing Distributed Generators Based on mixed integer linear programming 5

The Planning of Distribution Network Containing Distributed ...

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5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

作者： Shi, Jinyue Qiao, Ying Wang, Yingrui Wen, Junqiang Tong, Jingjing Zhang, Jianhua North China Elect Power Univ Sch Elect & Elect Engn Beijing Peoples R China

ISBN: (纸本)9781467371063

currently, the methods for solving the planning of distribution network (DN) are meta-heuristic algorithms whose computational efficiency is low and the results are not accurate. Therefore, this paper uses the advanced mixed integer linear programming (MILP) technology to model the multi-conductor DN planning containing the allocation of distributed generator (DG). Firstly, replace power flow calculation with an equivalent cone programming, then remove the product terms of binary and continuous variables, and finally use polyhedral models which are linear to approximate the planning model. In addition, as the siting and sizing of DG are added to the network planning, the situation that part of the loads are supplied by the DG separately perhaps appear thus leading to the appearance of loops. So the spanning tree (ST) constraints are introduced to the model to ensure the radiation of the DN. Finally, 23-node distribution system is used to simulate the above-mentioned model, and the results show the effectiveness and efficiency of the proposed model.

关键词： distributed generator mixed integer linear programming distribution network planning multi-conductor planning spanning tree constraints

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Airline Network Design by mixed integer linear programming: The Case of Small Size Airlines

Airline Network Design by Mixed Integer Linear Programming: ...

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ASCE International Conference on Transportation and Development (ICTD)

作者： Seghayati, Majid Nickkar, Amirreza Khaksar, Hasan Iran Univ Sci & Technol Dept Civil Engn Tehran Iran Morgan State Univ Ctr Built Environm & Infrastruct Studies Baltimore MD 21239 USA

ISBN: (数字)9780784482582

ISBN: (纸本)9780784482582

In this paper, two categories have been considered: optimizing economic issues in long-term planning of regional airline network structure;and the importance of changes in demand in different months of the year in airline network design. A mixed integer linear programming model has been provided in this study which, compared to previous models, considers issues such as capacity constraints and network planning issues. Moreover, the most important initiative of this article is entering two parameters: cost (non-profit) due to losing customers and expenditures of the unused capacity. These two parameters will help the model identify the best supply in each path. Various demand functions have been used in solving the model. Based on conducted analyses, using the expected value of monthly demand in comparison with high and low demand and seasonal changes in the network is optimized. The results of study also show that in times of high demand, the airline tends to aggregate passengers and increase density in hub paths.

关键词： Airline network design Small size airlines Hub and spoke mixed integer linear programming

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TIGHT mixed integer linear programming FORMULATIONS FOR GENERATOR SELF-SCHEDULING

TIGHT MIXED INTEGER LINEAR PROGRAMMING FORMULATIONS FOR GENE...

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23rd Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Ostrowski, J. Anjos, M. F. Vannelli, A. Univ Waterloo Dept Management Sci Waterloo ON N2L 3G1 Canada Univ Guelph Coll Phys & Engn Sci Guelph ON N1G 2W1 Canada

ISBN: (纸本)9781424453771

This paper examines the polytope of feasible power generation schedules for Self Scheduling problems. We introduce a new class of inequalities for the linear programming relaxation, giving a tighter description of feasible operating schedules for generators. Computational results show that these inequalities can significantly reduce overall solution times for the mixed-integer problem. These inequalities can also be applied in other power-generation problems that determine the operating schedules of generators, such as unit-commitment problems.

关键词： electric generators generator self-scheduling integer programming linear programming mixed integer linear programming power generation schedules power generation scheduling self scheduling problems unit-commitment problems

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Smart Residential Energy Scheduling Utilizing Two Stage mixed integer linear programming

Smart Residential Energy Scheduling Utilizing Two Stage Mixe...

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North American Power Symposium (NAPS)

作者： Amini, M. H. Frye, Justin Ilic, Marija D. Karabasoglu, O. Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA Sun Yat Sen Univ Carnegie Mellon Univ Joint Inst Pittsburgh PA USA Delft Univ Technol Fac Technol Policy & Management Delft Netherlands Shunde Int SYSU CMU Joint Res Inst Shunde Guangdong Peoples R China

ISBN: (纸本)9781467373890

In this paper, we design and evaluate the feasibility of a system which minimizes residential electricity cost of individual homes by shifting demand over a daily forecast price cycle. Ideally, our system will accept use-time preferences from consumers and optimize their appliances' operation around those given patterns. However, using the system to recommend optimum use-times to consumers is also possible by accepting ideal use preferences from an external load manager and computing the cost savings of these preferences relative to the cost of the consumer's current use patterns. We implement the optimization problem in two stages by using mixed integer linear programming (MILP). In the first stage, we obtain the optimum scheduling for appliances to be connected to the outlet;the output of this stage only shows the hours that we can use the appliance and does not reflect the actual consumption hours of each appliance. In the second stage, we model the random behavior of users via Monte Carlo simulation by running the appliances within the times they receive power, specified in the first stage. Finally, we evaluate the effectiveness of the proposed model in terms of cost savings by considering three appliances and four pricing schemes.

关键词： Monte Carlo methods domestic appliances integer programming linear programming pricing MILP Monte Carlo simulation optimum scheduling pricing scheme residential electricity cost minimization smart residential energy scheduling two stage mixed integer linear programming Home appliances Load management Mathematical model Optimization Pricing Real-time systems Schedules Appliances Monte Carlo technique Pricing load management real-time systems integer programming linear programming Mathematical Model Consumers mixed integer linear programming cost analysis double-stage

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Optimal Trajectory Planning for Trains Using mixed integer linear programming

Optimal Trajectory Planning for Trains Using Mixed Integer L...

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

作者： Wang, Yihui De Schutter, Bart Ning, Bin Groot, Noortje van den Boom, Ton J. J. Beijing Jiaotong Univ State Key Lab Traff Control & Safety Beijing Peoples R China Delft Univ Technol Delft Ctr Syst & Control NL-2600 AA Delft Netherlands

ISBN: (纸本)9781457721977

The optimal trajectory planning for trains under constraints and fixed maximal arrival time is considered. The variable line resistance (including variable grade profile, tunnels, and curves) and arbitrary speed restrictions are included in this approach. The objective function is a trade-off between the energy consumption and the riding comfort. First, the nonlinear train model is approximated by a piece-wise affine model. Next, the optimal control problem is formulated as a mixed integer linear programming (MILP) problem, which can be solved efficiently by existing solvers. The good performance of this approach is demonstrated via a case study.

关键词： Approximation methods Energy consumption Force Mathematical model Optimal control Resistance Trajectory affine transforms energy consumption energy consumption integer programming linear programming mixed integer linear programming nonlinear train model o

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A practical mixed integer linear programming based approach for unit commitment

A practical mixed integer linear programming based approach ...

引用

IEEE-Power-Engineering-Society General Meeting

作者： Chang, GW Tsai, YD Lai, CY Chung, JS Natl Chung Cheng Univ Dept Elect Engn Chiayi 62107 Taiwan

ISBN: (纸本)0780384652

This paper presents a practical mixed integer linear programming (MILP) based approach for unit commitment (UC) which is suitable for both traditional and deregulated environments. In general, the UC problem is complicated large-scale, combinatorial, and non-convex in nature, it is very difficult to solve by conventional approaches to achieve both solution accuracy and efficiency. With the recent development of solution techniques, there is a trend to tackle the UC problem by using MILP approaches. In this paper the authors propose a detailed procedure to formulate the UC problem in MILP manners. The problems are then solved via a state-of-the-art optimization package. The usefulness of the proposed solution technique is illustrated by testing the problem with actual system data. The solution obtained not only gives the unit on/off states and MW schedules, but also provides marginal price information associated with system constraints such as load demand requirement to assist strategic bidding in the power market.

关键词： unit commitment mixed integer linear programming marginal price deregulation

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Thyristor-Controlled Switch Capacitor Placement in Large-Scale Power Systems via mixed integer linear programming and Taylor Series Expansion

Thyristor-Controlled Switch Capacitor Placement in Large-Sca...

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IEEE PES General Meeting

作者： Ziaee, Omid Choobineh, F. Fred Univ Nebraska Dept Elect Engn Lincoln NE 68588 USA

ISBN: (纸本)9781479964154

Allocation of flexible alternating current transmission system (FACTS) devices to an electric power transmission network may be formulated as a nonlinear mathematical program. Solving such a nonlinear program for a large transmission network is computationally very expensive, and obtaining the optimal solution may be impossible. We present a Taylor series expansion approximation of the nonlinearities of the problem and propose a mixed integer linear program (MILP) for finding the optimum location and proper settings of a Thyristor-Controlled Series Capacitor (TCSC) in an electric power network. The objective of this problem is to minimize total generation cost based on the DC load flow model. The proposed method is implemented for the 118-bus IEEE test case and the results are discussed.

关键词： Flexible AC Transmission System DC optimal power flow mixed integer linear programming Taylor series expansion generation cost

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A mixed integer linear programming for Medical Waste Reverse Logistics Network Design

A Mixed Integer Linear Programming for Medical Waste Reverse...

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16th International Conference on Management Science and Engineering

作者： Shi Li-hong Dalian Maritime Univ Transportat Management Coll Dalian 116026 Peoples R China

ISBN: (纸本)9781424439706

The medical waste management is of great importance due to its potential environmental hazards and public health risks. Manufacturers have to collect the medical waste and control its recovery or disposal. Medical waste recovery, which encompasses reuse, remanufacturing and materials recycling, requires a specially structured reverse logistic network in order to collect medical waste efficiently. This paper has attempted to apply the basic theories of reverse logistics to improve the effect of medical waste management. We presents a mixed integer linear programming model of reverse logistics networks for returned medical waste. The efficiency and practicability of the proposed model is validated by an application to an illustrative example dealing with medical waste returned from some hospitals to a given medical materials producer.

关键词： medical waste mixed integer linear programming network reverse logistics

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