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Research and Application of Multi-Area New Energy Integration Capability Evaluation Model
Published 2019-12-01“…Inspired by traditional methods of peak load balancing and production simulation, this paper proposed a multi-region new energy integration capability evaluation model based on mixed integer optimization, in which the new energy integration capability in each region is considered as a decision variable. …”
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Optimising management against dynamic threats: A spatially explicit approach based on integer programming
Published 2025-08-01“…Here, we develop a framework based on a Mixed Integer Programming (MIP) methodology to design multi‐period management planning strategies that account for the dynamic nature of threats and abatement actions. …”
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Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid
Published 2025-01-01“…The model is then linearized into a mixed-integer programming problem. Finally, through case study simulations of an actual microgrid in Southwest China, the feasibility and effectiveness of the proposed ES optimization strategy are verified. …”
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Mathematical Modelling Approaches for Integrated Single Machine Scheduling and Electric Vehicle Routing Problem
Published 2024-05-01“…Two mathematical models, i.e., mixed-integer linear programming (MILP) and constraint programming (CP) models, are presented to solve this problem. …”
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Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks
Published 2025-01-01“…This problem is formulated as a Mixed-Integer Linear Programming (MILP) model, integrating data scheduling, packet aggregation, link interference, and energy resource management across multiple nodes. …”
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Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources
Published 2025-07-01“…The lack of seamless integration between customer orders and production tasks, combined with the manual and time-consuming nature of schedule adjustments, highlights the need for an automated and optimized scheduling method. We propose a novel optimization-based approach that leverages mixed-integer linear programming (MILP) combined with a proprietary procedure for reducing the size of the modeled problem to generate feasible and/or optimal production schedules. …”
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Combined Scheduling and Configuration Optimization of Power-to-Methanol System Considering Feedback Control of Thermal Power
Published 2025-03-01“…A closed-loop state-space model of the TPG unit is introduced as an additional constraint within the optimization framework. Furthermore, a dynamic deviation index for the TPG unit is formulated and integrated into a mixed-integer linear programming (MILP) model. …”
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The road to net zero in a renewable energy-dominated electricity system: Impact of EV charging and social cost of emission on the optimal economic dispatch
Published 2025-06-01“…The economic dispatch for each supply scenario is formulated as a Mixed Integer Linear Program (MILP), aiming to minimize both costs for generation and social costs of emissions, while adhering to operational constraints of the supply options. …”
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Resource constraint scheduling on two dedicated machines: Application to avionics
Published 2024-01-01“…We evaluate several Mixed-Integer Linear Programming and Constraint Programming formulations of the problem, using Cplex, CPO, Gurobi, and Z3, against several proposed heuristics. …”
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Multi-stage Dynamic Plan of Regional Integrated Energy System Considering Medium and Long-Term Carbon Emission Reduction Constraints
Published 2023-11-01“…Based on the economic optimal configuration of regional energy resources and carbon emission reduction requirements, this paper proposes a multi-stage dynamic planning model for integrated energy systems considering medium and long-term carbon emission reduction constraints. …”
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APLIKASI PROGRAM LINIER INTEGER 0-1 UNTUK MENYUSUN JADWAL USULAN PIKET SATPOL PP
Published 2020-03-01“…The results of the analysis obtained an optimal proposal schedule in maximizing the quality of assignments to each shift while taking into account the workload and constraints that exist. …”
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A Raster-Based Multi-Objective Spatial Optimization Framework for Offshore Wind Farm Site-Prospecting
Published 2024-11-01“…The proposed methodology demonstrates the development of a raster-based spatial optimization model for future Offshore Wind Farm (OWF) multi-objective site-prospecting in terms of the simulated Annual Energy Production (AEP), Wind Power Variability (WPV) and the Depth Profile (DP) towards an integer mathematical programming approach. …”
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A Mixed-Integer Programming Framework for Drone Routing and Scheduling with Flexible Multiple Visits in Highway Traffic Monitoring
Published 2025-07-01“…This paper presents a novel Drone Routing and Scheduling with Flexible Multiple Visits (DRSFMV) framework, an optimization model for planning drone-based highway monitoring under realistic operational constraints, including battery limits, variable monitoring durations, recharging at a depot, and target-specific inter-visit time limits. …”
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Robust moving horizon planning for multi-vehicles area coverage in uncertain environment using mixed-integer-programming
Published 2025-06-01“…It systematically incorporates vehicle dynamics and constraints, such as obstacle avoidance, to optimize a performance index that considers uncovered area and energy consumption. …”
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Short-term Optimal Scheduling Model for Hydropower Stations Considering Peak Shaving of Local and HVDC Receiving Power Grids
Published 2024-01-01“…In the face of the increasingly severe peak shaving pressure on both sending and receiving power grids of the high voltage direct current (HVDC) of large-scale hydropower stations,a short-term optimal scheduling model that takes into account peak shaving of local and HVDC receiving power grids of the cascade hydropower stations has been established.The model aims to minimize the maximum value of residual load in multiple power grids,not only considering the conventional hydraulic and power constraints of the cascade hydropower stations and the complex operation constraints of the HVDC transmission lines but also introducing coupled operation constraints between the HVDC transmission line and the hydropower stations.In the model-solving phase,the original model is transformed into a mixed-integer linear programming model by introducing auxiliary variables to linearize the objective function,hydraulic operation constraints,and HVDC operation constraints and using the big M method to linearize the bi-directional interval coupled constraints between the HVDC transmission line and the hydropower stations.Typical winter and summer days in a large-scale hydropower system in southwestern China are taken as examples,and the results show that the peak-valley difference of the sending power grid has decreased by up to 100%,while the decrease in the peak-valley difference in the receiving end power grid is 28.1% and 31.6%,respectively.It shows that the proposed model can share the flexibility of hydropower through HVDC transmission lines,achieve peak shaving in multiple power grids,and ensure safe operation of the HVDC transmission lines,which can provide a reference for short-term multi-grid peak shaving of large-scale cascade hydropower stations.…”
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Expansion Planning Method of Power Grid with Wind Power Considering Optimal Switching and Current Limiting
Published 2023-08-01“…Secondly, by determining the overall idea of power grid expansion planning and taking the minimum total investment as the objective function, the mixed integer linear programming model of power grid planning is established and solved that comprehensively considers the energy storage, demand-side response and short-circuit current constraints. …”
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Reliable heuristic mapping method for survivable virtual network
Published 2015-07-01Get full text
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