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

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Exact resolution for the unrelated parallel machine scheduling problem with flexible maintenance and human operators planning

Exact resolution for the unrelated parallel machine scheduli...

引用

International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Meriem Touat Computer Science and Digital Society (LIST3N) Université de Technologie de Troyes Troyes France

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

This study addresses a novel parallel machine scheduling problem where machines undergo periodic, flexible maintenance needing human operators. Operators differ in competence and availability, affecting maintenance execution and planning feasibility. We focus on optimizing a weighted objective function encompassing both production and maintenance. Indeed, we aim to minimize the sum of production tardiness and the maintenance earliness-tardiness. To tackle this problem, we introduce two mathematical models: one based on mixed-integer linear programming (MILP) and the other on Constraint programming (CP). Both models are solved using IBM ILOG Cplex 22.1, demonstrating the effectiveness of the CP modelling in managing this complex scheduling problem.

关键词： Constraint handling Production Parallel machines programming linear programming Mathematical models Maintenance Planning mixed integer linear programming Information technology

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Integrated Optimization on Tugboat Scheduling and Berth Allocation of Seaside Port Operations

Integrated Optimization on Tugboat Scheduling and Berth Allo...

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Automation in Manufacturing, Transportation and Logistics (ICaMaL), International Conference on

作者： Mingkai Zou Yaqiong Lv School of Transportation and Logistics Engineering Wuhan University of Technoloty Wuhan China

ISBN: (数字)9798350378658

ISBN: (纸本)9798350378665

The current inefficiency in seaside operations at the port terminal has led to excessive waiting times for ships and environmental pollution. Traditional decision-making methods for berth allocation and tug scheduling plans have resulted in inefficiencies in the overall integrated process. In this study, a new mixed-integer linear programming model for optimizing tugboat scheduling and berth allocation at seaside port terminals is presented, aiming to minimize the weighted total stay time of ships while addressing the complexities of tugboat matching constraints, ship shift movements, and the heterogeneity of berths. Through computational experiments utilizing both practical port data and randomly generated instances, the model demonstrates significant improvements in operational efficiency and environmental impact reduction compared to traditional port scheduling methods. By focusing on the optimization of resource allocation and scheduling, the proposed model offers a comprehensive solution to the current inefficiencies faced by port terminals, highlighting its potential for practical implementation and its contribution towards more sustainable and effective port operations.

关键词： Job shop scheduling Pollution Processor scheduling Computational modeling Seaports mixed integer linear programming Manufacturing Resource management Marine vehicles Optimization

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A GCN-Based Adaptive Large Neighbourhood Search for Multi-Depot Vehicle Routing Problem in Airport Ground Handling

A GCN-Based Adaptive Large Neighbourhood Search for Multi-De...

引用

Artificial Intelligence Technology (ACAIT), Asian Conference on

作者： Fei Xiang Mingjie Tang Bo Wen Runhao Xu Junda Chen Jie Chen Civil Aviation Chengdu Information Technology Co. Ltd The Second Research Institute of Civil Aviation Administration of China Chengdu China

ISBN: (数字)9798331517090

ISBN: (纸本)9798331517106

Airport ground handling (AGH) is crucial for enhancing the efficiency of airport operations and contributing to the economic viability of the aviation industry. Multi-depot vehicle routing is a typical type of problem in AGH, and owing to the substantial increase in flight numbers, there is a considerable challenge in scheduling vehicles from multiple depots to service the high volume of flights. To deal with this problem, a novel GCN-based adaptive large neighbourhood search (ALNS) method is proposed in this paper. We first formulate the multi-depot vehicle routing problem (MDVRP) as a mixed integer linear programming (MILP) model, then solve it with the proposed ALNS method. By providing the graphical depiction of the MILP model, we incorporate supervised learning with graph convolutional network (GCN) to train a destroy-operator for the automatic selection of variables, and leverage greedy insertion and regret value insertion as repair-operation to generate new solution. Extensive experimental evaluations illustrate the superiority of our method over state-of-the-art meta-heuristics and commercial solvers. The improved performance indicates that our approach effectively addresses the MDVRP, contributing to enhanced operational efficiency in AGH.

关键词： Adaptation models Job shop scheduling Graph convolutional networks Vehicle routing Supervised learning Metaheuristics Reinforcement learning Airports Search problems mixed integer linear programming

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Multi-Objective Service Restoration and Visualization for increased Distribution System Resiliency

Multi-Objective Service Restoration and Visualization for in...

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IEEE General Meeting Power& Energy Society

作者： Tumininu Mbanisi Dongyun Han Isaac Cho Valentina Cecchi Department of Electrical and Computer Engineering Department of Computer Science Utah State University Logan UT USA Department of Computer Science The University of North Carolina at Charlotte Energy Production and Infrastructure Center The University of North Carolina at Charlotte Charlotte NC USA

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

In the face of increasing billion-dollar weather events in the United States, grid resilience has become a central issue for electric utilities, operators and customers. Hence, this work presents service restoration and data-enhanced visualization for improved decision-making and resilience in the distribution system. First, we present an exploratory visual interface that increases situational awareness in the distribution system by allowing system operators to glean actionable intelligence from historical outage data. In addition, this study proposes a prescriptive service restoration framework that allows distribution system operators to manage outages in a proactive manner by leveraging outage forecasts to minimize out-of-service loads in the event of predicted outages in the distribution network. The proposed framework is formulated as a mixed integer linear programming problem and is validated using a modified IEEE 13-node test feeder. Results show a decrease in the impact of predicted outages as a result of implementing the topology optimization and service restoration framework.

关键词： Visualization Network topology Distribution networks Power industry Topology mixed integer linear programming Optimization Faces Resilience Meteorology

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Vehicle Routing Problem with Synchronization for Mobile Health Clinics

Vehicle Routing Problem with Synchronization for Mobile Heal...

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IEEE International Technology Management Conference

作者： Faisal Alkaabneh Sam Jotham Sutharson Industrial Engineering American University of Sharjah Sharjah United Arab Emirates Industrial & Systems Engineering North Carolina A&T State University Greensboro North Carolina USA

ISBN: (数字)9798350367355

ISBN: (纸本)9798350367362

As an important means of providing medical services in developing countries and remote areas, Mobile Health Clinics (MHCs) focus on distributing medical supplies and providing basic health needs to underserved communities. We model this problem as a vehicle routing problem with multiple synchronization constraints and heterogeneous demand (VRPMSC-HD) and formulate a mixed integer linear programming (MILP). We propose a matheuristic based on adaptive large neighborhood search (ALNS) combined with an intensive local search phase to solve large-scale instances on the model. We assess the advantages and disadvantages of the proposed approach by comparing its solutions with the solutions of the vehicle routing problem with multiple trips (VRP-MT). Interestingly, the proposed approach leads to longer total traveled distance/time when taking into account the routing of the resupply truck and the MHCs. On the other hand, the proposed approach achieves significant reduction in the latest arrival metric leading to faster completion of services and higher utilization of a fleet of MHCs.

关键词： Measurement Adaptation models Technology management Vehicle routing Metaheuristics Medical services Routing Mathematical models mixed integer linear programming Synchronization

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The reinvention of an energy hub's planning by considering tidal turbine, bi-facial PV panels, and INVELOX: A unique outlook on the combination performance of novel RERs

The reinvention of an energy hub's planning by considering t...

引用

IEEE General Meeting Power& Energy Society

作者： M. Shaterabadi H. Mehrjerdi H. Karimi B. Aminnessar L. Ben-Brahim M. Ahmadi Jirdehi Department of Electrical Engineering and Computer Science York University Toronto Ontario Canada Department of Electrical and Computer Engineering Royal Military College of Canada Kingston Ontario Canada Elecan Company Montreal Canada Department of Electrical Engineering Qatar University Doha Qatar Department of Electrical Engineering Kermanshah University of Technology Kermanshah Iran

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

Ahstract-New approaches must be taken due to the rapid growth of societies globally and the urgent need for more energy, climate change, and global warming. One of these approaches is supporting and expanding new and efficient renewable energy resources (RERs). Therefore, this paper is dedicated to the energy planning and management of the proposed structure in which novel renewable-based technologies such as INVELOX wind turbines, Bi-facial photovoltaic (PV) panels, and tidal turbines (TT), in addition to the demand response programs (DRP) especially time of use (TOU), are investigated. The purpose is to simultaneously reducing the presented system's overall cost and environmental pollution. The problem is modeled as mixed-integer linear programming (MILP) in GAMS software and solved using a CPLEX solver. The final results show that novel technologies recognized as efficient can significantly reduce contamination, expenses, and greenhouse gas (GHG) emissions while supplying our rapidly growing demand.

关键词： Photovoltaic systems Renewable energy sources Software engineering Global warming Demand response Wind turbines Power system planning mixed integer linear programming Greenhouse gases Pollution measurement Climate change Tidal energy Energy management

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Thermal Energy Storage in Multi-Energy System Optimization: How to Consider Temperatures?

Thermal Energy Storage in Multi-Energy System Optimization: ...

引用

Open Source Modelling and Simulation of Energy Systems (OSMSES)

作者： Ueli Schilt Philipp Schuetz Competence Centre for Thermal Energy Storage School of Engineering and Architecture Lucerne University of Applied Sciences Horw Switzerland School of Architecture Civil and Environmental Engineering École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland

ISBN: (数字)9798350384680

ISBN: (纸本)9798350384697

The transition from fossil-based to renewable energy sources requires the adoption of intermittent, decentralized energy generation technologies. Therefore, the integration of energy storage technologies is becoming increasingly important. The impact of optimal design and operation of thermal energy storage (TES) systems can be assessed through simulation and optimization studies. However, models that accurately describe TES systems while considering storage temperatures are inherently nonlinear, presenting challenges such as prolonged computation times during optimization studies. As a result, most studies on district-size multi-energy systems (MES) employ a simplified capacity model for TES, which does not account for storage temperature levels. In this study, we present first results of a linearized stratified TES model for a residential building, implemented using the Python-based modeling package Pyomo. The study aims to assess the performance of this linearized TES model for potential future implementation in a district-size MES model. As a benchmark, the optimization of the residential energy system was carried out for both the simple capacity TES model and the linearized multi-node TES model for two weeks of operation with hourly timesteps. As an objective, operation cost was minimized. The results indicate that the capacity model underestimates the operation costs by 6.7% and 2.4% compared to the multi-node model for initial conditions of TES discharged and TES fully charged, respectively. Further, it was shown that the computation time for the multi-node model depends strongly on the solver type and the initial conditions, ranging from a few seconds to several minutes.

关键词： Renewable energy sources Costs Computational modeling Buildings Benchmark testing Distance measurement mixed integer linear programming

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The Bidding Strategy of Virtual Power Plant Considering the Uncertainty of the Flexible Loads

The Bidding Strategy of Virtual Power Plant Considering the ...

引用

IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Chenge Gao Ye Guo Jieming Huang Fan Zhang Wuhua Hu Qiang Liu Chaoqing Lv Kaicheng Zhou Tsinghua Berkeley Shenzhen Institute (TBSI) Tsinghua University Shenzhen China Towngas Energy Shenzhen China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

This paper presents a novel bidding strategy for virtual power plants considering the uncertainty associated with flexible loads. The proposed method incorporates a profit allocation mechanism and strategically excludes highly uncertain loads from bidding. The problem is formulated as a mixed-integer linear programming model. Simulations demonstrate that this approach outperforms traditional stochastic optimization methods in managing risks associated with uncertain flexible loads.

关键词： Uncertainty Stochastic processes Optimization methods Energy Internet System integration Virtual power plants Electricity supply industry mixed integer linear programming Resource management Load modeling

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Optimal Reserve Determination for Diversified Frequency Regulation Resources via Frequency Constrained Unit Commitment

Optimal Reserve Determination for Diversified Frequency Regu...

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IEEE International Conference on Power and Power and Renewable Energy (ICPRE)

作者： Yanling Liu Danyang Xu Zhigang Wu School of Electric Power South China University of Technology Guangzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

With the large-scale integration of renewable energy sources, the frequency security of power systems is increasingly challenged. In this paper, we propose a frequency constrained unit commitment (FCUC) to determine the optimal reserve for diversified frequency support resources (DFSRs), ensuring that the system's frequency response capability after power disturbances meets the specified requirements. DFSRs and load frequency relief (LFR) are considered based on the inertia dependent frequency reserve (IDFR) model, and a joint model-data driven approach is proposed to address the challenges of frequency response analytical expression and maximum frequency deviation constraint convexification arising from the consideration of LFR. Finally, the proposed FCUC is transformed into a mixed-integer linear programming model and validated through case study on the IEEE 39-bus system, demonstrating its effectiveness.

关键词： Analytical models Renewable energy sources Scalability Frequency diversity Frequency response Power systems Spatiotemporal phenomena mixed integer linear programming Security Load modeling

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Noise-Tolerant Threshold Cryptography

Noise-Tolerant Threshold Cryptography

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Innovative Trends in Information Technology (ICITIIT), International Conference on

作者： Naveen S D Darshan Jayachandran Jesvin Sebastian Madona Vinod Pathari K Murali Krishnan Department of Computer Science National Institute of Technology Calicut Kozhikode India

ISBN: (数字)9798331536381

ISBN: (纸本)9798331536398

Threshold Cryptography conventionally requires that all the received shares are valid - that is, free of errors arising from lossy transmission or faulty devices. In this paper, we propose a threshold cryptography scheme wherein the secret may be retrieved as long as a specified threshold of valid shares is met, even in the presence of other invalid shares. The proposed scheme is based on a mathematical formulation where the shares are modelled as the constraints of a linear programming problem, the solution of which produces the secret. The fact that modern hardware is capable of efficiently solving fairly large linear programming problems makes the proposal practical. This can aid in the use of threshold cryptography in environments like IoT systems, where there is a possibility of receiving erroneous shares.

关键词： Noise linear programming Propagation losses Hardware Ad hoc networks Mathematical models mixed integer linear programming Cryptography Proposals Standards

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