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

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Different Model Considerations for Repositioning Free-float Bike Sharing Systems with Faulty Bikes

Different Model Considerations for Repositioning Free-float ...

引用

作者： Muhammad Usama 东南大学

学位级别：硕士

The Free-Floating Bike-sharing System(FFBS),with the advantages of highly flexible mobility,less usage of fuel,and the reduction of congestion and emission,is considered as an essential component of future green and multimodal *** assists commuters to pick up and drop off a rented bike without going to a docking station before and after the ***,the convenience of FFBS can also be a problem for users and operators because the randomly scattered usable and faulty bikes can bring about bikes' unavailability and maintenance *** imbalance against user demand and widespread faulty bikes not only result in a negative impact on bike-sharing companies' service quality but also cause users' safety *** this study,a shared bike repositioning framework is presented to collect faulty bikes to the depot,and to distribute repaired bikes among different stations to obtain optimal inventory level at all nodes by repositioning *** framework is realized by minimizing the total routing cost using optimum fleet size supported by various time and capacity *** presented formulation is an extension to the traveling salesman problem(TSP)and proved to be strictly ***,the computation time increases exponentially with the increase in the number of ***,to solve the problems in a reasonable time,a simulated annealing algorithm is developed in this *** presented algorithm gives good results in reasonably less time as compared to the exact solutions through CPLEX ***,a free-float bike-sharing system repositioning problem with faulty bikes using battery electric vehicles(BEVs)is *** target inventory of bikes at each station is obtained while minimizing the total traveling time through the presented *** CPLEX solver,the model is demonstrated through numerical experiments considering the various vehicle and battery capacities,and a cost-benefit analysis is performed for BE

关键词： Bike-sharing system Repositioning problem Battery electric vehicle Simulated annealing algorithm emissions mixed integer linear programming

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A Fast Restoration Method for PMU Communication Network with Considering Massive Failures in Smart Grids

A Fast Restoration Method for PMU Communication Network with...

引用

IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)

作者： Li Zheng Ming Chen Jiekai Pan Shaobin Lu State Grid Wenzhou Electric Power Supply Company Zhejiang Electric Power Co.Ltd. Wenzhou China

ISBN: (纸本)9781665479691

The operation of new power systems needs to quickly restore situational awareness after large-scale failures, so it is necessary to perform large-scale failures of PMU communication networks after large-scale failures. In this paper, the fault fast recovery problem of the PMU communication network is transformed into the PMU optimal order recovery problem, aiming to quickly restore the observability of power system after a fault. The observability recovery problem is formulated as a mixed integer linear programming problem that aims to maximize the obtained cumulative observability level. Finally, a heuristic algorithm is designed to solve the problem. The system simulation on IEEE-57 node shows that the proposed method can restore the observability of the PMU communication network faster than the greedy algorithm and the random algorithm.

关键词： Phasor measurement units Power systems Systems simulation Smart grids mixed integer linear programming Information management Communication networks

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Dynamic Surveillance by Multiple Agents with Fuel Constraints

Dynamic Surveillance by Multiple Agents with Fuel Constraint...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Ryo Masuda Koichi Kobayashi Yuh Yamashita Graduate School of Information Science and Technology Hokkaido University Kita 14 Nishi 9 Kita-ku Sapporo Japan

ISBN: (纸本)9781728145709

The surveillance problem is to find optimal trajectories of agents that patrol a given area as evenly as possible. In this paper, we consider multiple agents with fuel constraints. The surveillance area is given by a weighted directed graph, where the weight assigned to each arc corresponds to the fuel consumption/supply. For each node, the penalty to evaluate the unattended time is introduced. Penalties, agents, and fuels are modeled by a mixed logical dynamical system model. Then, the surveillance problem is reduced to a mixed integer linear programming (MILP) problem. Based on the policy of model predictive control, the MILP problem is solved at each discrete time. In this paper, the feasibility condition for the MILP problem is derived. Finally, the proposed method is demonstrated by a numerical example.

关键词： Fuels Surveillance mixed integer linear programming Predictive control Smart cities Business Trajectory

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Hybrid Strategy based Timetable Rescheduling for High-Speed Railways under Disturbances

Hybrid Strategy based Timetable Rescheduling for High-Speed ...

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Chinese Automation Congress (CAC)

作者： Jingfan Shang Min Zhou Qingpei Duan Ye Li Hairong Dong State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing P.R.China China Railway Beijing Bureau Group Co. Ltd. Beijing China China Academy of Railway Sciences Co. Ltd. Beijing Engineering Consultation Co. Ltd Beijing P.R.China

ISBN: (纸本)9781665426480

High-speed railways are occasionally subject to emergencies such as extreme weather, device faults or foreign matter intrusion, and these circumstances will lead to train delays when trains fail to run as the original plan. Rescheduling strategies are an important part of train dispatching in dealing with train delays. This paper proposes the hybrid strategy to solve the timetable rescheduling problem for high-speed railways under disturbances. A mixed-integer linear programming model is built with consideration of train retiming, reordering, limiting overtaking times and increasing unplanned dwellings. To minimize the total delay time, a genetic algorithm is used to optimize the objective function. The part of Beijing-Shanghai high-speed railway line is used to verify the effectiveness of the proposed hybrid strategy. The simulation results indicate that, under different delay scenarios, the rescheduling strategy proposed in this paper reduces the total delay time by more than 25% and 12% respectively when it is compared with the FCFS (First Come First Served) rescheduling and the strategy of limited overtaking times and unplanned dwellings. It limits the trains overtaking times and ensures fairness in the operation between different classes of trains.

关键词： integer programming Limiting Simulation Rail transportation Dispatching Delays mixed integer linear programming

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Tight and compact MIP formulation of configuration-based combined-cycle units

Tight and compact MIP formulation of configuration-based com...

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IEEE General Meeting Power& Energy Society

作者： German Morales-España Carlos M. Correa-Posada Andres Ramos Technische Universiteit Delft Delft Zuid-Holland NL Operational planning XM USA Universidad Pontificia Comillas Madrid Madrid ES

Summary form only given: Private investors, flexibility, efficiency and environmental requirements from deregulated markets have led the existence and building of a significant number of combined-cycle gas turbines (CCGTs) in many power systems. These plants represent a complex optimization problem for the short-term planning unit commitment (UC) carried out by independent system operators due to their multiple operating configurations. Accordingly, this paper proposes a mixed-integer linear programming (MIP) formulation of the configuration-based model of CCGTs, which is commonly utilized for bid/offering market processes. This formulation is simultaneously tighter and more compact than analogous MIP-based models; hence, it presents a lower computational burden. The computational efficiency of the proposed formulation is demonstrated by solving network-constrained UC case studies, of different size and complexity, using three of the leading commercial MIP solvers: CPLEX, GUROBI, and XPRESS.

关键词： Planning Computational modeling Buildings Turbines Power systems Optimization mixed integer linear programming

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Automatic datapath tile placement and routing

Automatic datapath tile placement and routing

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Design, Automation and Test in Europe Conference and Exhibition

作者： T. Serdar C. Sechen University of Washington Seattle WA USA

ISBN: (纸本)0769509932

We report the very first fully automatic datapath tile layout flow. We subdivided the placement process into two steps: a global placement step using simulated annealing, and a new detailed placement step based on extensive modifications we made to the O-tree algorithm. The modifications have enabled the extended O-tree algorithm to handle the rectilinearly shaped transistor chains and gates common in datapath tile layout. We show that datapath tiles can be placed and routed automatically at the transistor level or at the mixed transistor/gate level, achieving results for the very first time that are competitive to those obtained manually by a skilled designer.

关键词： Tiles Routing Reflection Logic circuits Manuals Rails Geometry Fingers Libraries mixed integer linear programming

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A linear reformulation of Boolean optimization problems and structure identification of gene regulation networks

A linear reformulation of Boolean optimization problems and ...

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IEEE Annual Conference on Decision and Control

作者： Christian Breindl Madalena Chaves Frank Allgower Institute for Systems Theory and Automatic Control University of Stuttgart Pfaffenwaldring 9 70550 Stuttgart Germany BIOCORE INRIA 2004 Route des Lucioles BP 93 06902 Sophia Antipolis France

ISBN: (纸本)9781467357159

We consider the problem of estimating Boolean models of gene regulation networks from few and noisy measurements. To this end, we use a representation of Boolean functions as multi-affine polynomials, leading to a reformulation of the estimation problem as mixed integer linear program. We then show that the integer constraints can be omitted which improves existing results and reduces the required computing time drastically. Also certain properties of Boolean functions such as unateness or the canalizing property can be included in the linear formulation. The benefits of this reformulation are demonstrated with the help of a large Boolean model of the network of the segment polarity genes in Drosophila melanogaster.

关键词： Boolean functions Gene regulation mixed integer linear programming Drosophila melanogaster Network

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Guaranteed Outlier Removal with mixed integer linear Programs

Guaranteed Outlier Removal with Mixed Integer Linear Program...

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IEEE Conference on Computer Vision and Pattern Recognition

作者： Tat-Jun Chin Yang Heng Kee Anders Eriksson Frank Neumann School of Computer Science The University of Adelaide School of Electrical Engineering and Computer Science Queensland University of Technology

ISBN: (纸本)9781467388528

The maximum consensus problem is fundamentally important to robust geometric fitting in computer vision. Solving the problem exactly is computationally demanding, and the effort required increases rapidly with the problem size. Although randomized algorithms are much more efficient, the optimality of the solution is not guaranteed. Towards the goal of solving maximum consensus exactly, we present guaranteed outlier removal as a technique to reduce the runtime of exact algorithms. Specifically, before conducting global optimization, we attempt to remove data that are provably true outliers, i.e., those that do not exist in the maximum consensus set. We propose an algorithm based on mixed integer linear programming to perform the removal. The result of our algorithm is a smaller data instance that admits a much faster solution by subsequent exact algorithms, while yielding the same globally optimal result as the original problem. We demonstrate that overall speedups of up to 80% can be achieved on common vision problems.

关键词： mixed integer linear programming outliers linear programming randomized algorithms original problem mixed integer images computer vision algorithms Runtime Global optimization

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Protected Working Lightpath Envelope: a New Paradigm for Dynamic Survivable Routing

Protected Working Lightpath Envelope: a New Paradigm for Dyn...

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International Conference on Computer Communications and Networks (ICCCN)

作者： Rong He Kee Chaing Chua Gurusamy Mohan Department of Electrical and Computer Engineering National University of Singapore Singapore

We propose a new scheme, called protected working lightpath envelope (PWLE), for dynamic provisioning of survivable services without requiring any wavelength conversion. PWLE is a path-oriented protection strategy based on lightpath-protecting rho-cycles. It partitions the total network capacity into a static protection layer and a working layer available for dynamic routing. To deal with the new issues raised by lightpath-protecting p-Cycles, we propose compatible grouping so that the PWLE can be formulated as an mixed integer linear programming (MILP) model. Based on compatible grouping, we further propose compatible group routing (CGR), a distributed routing algorithm tailored for PWLE. Compared with rho-Cycle-based protected working capacity envelope (PWCE), PWLE has the advantages of high capacity efficiency, avoidance of wavelength conversion, good blocking performance and guaranteed optical transmission quality. We evaluate the performance improvement of PWLE in capacity efficiency and blocking performance through the numerical results obtained from CPLEX and simulations.

关键词： Protection Optical wavelength conversion Wavelength division multiplexing Telecommunication traffic Wavelength routing Helium mixed integer linear programming Bandwidth Network topology

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Strengthening Urban Power Grids: A Resilient Planning Approach to Improve Critical Load Survival in Extreme Events

Strengthening Urban Power Grids: A Resilient Planning Approa...

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IEEE International Conference on Energy Internet (ICEI)

作者： Guanxun Diao Jinping Liu Jiayu Liu Ying Wang Yin Xu Shanghai Municipal Electric Power Company State Grid China School of Electrical Engineering Beijing Jiaotong University Beijing China Shanghai Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company China

ISBN: (数字)9798331523558

ISBN: (纸本)9798331523565

Extreme disasters can damage power infrastructure of urban power grids and lead to significant outages. Strengthening urban power grids by updating and building new lines, stations, and sources in planning stage can enhance the power grid resilience, thus improve critical load survival in extreme events. This paper proposes a planning approach to strength the urban power grid and improve resilience. First, the planning principles on the power supply to critical loads are proposed to ensure power service based on differentiated critical degree of loads. Second, the planning problem is formulated as a mixed integer linear program (MILP), maximizing the weighted number of critical loads with guaranteed power supply considering the length of power supply paths and minimizing planning budgets. The associated constraints on planning principles and budget limit are considered. Finally, the proposed method is validated on a practical multi-voltage level grid case. Simulation results indicate that the proposed method enables each critical load to receive multiple power supplies based on its importance which can help survive in extreme events.

关键词： Power supplies Disasters Simulation Power system dynamics Voltage Power grids Planning mixed integer linear programming Resilience Meteorology

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