Two-stage robust planning for wind power-photovoltaic-thermal power-pumped storage-battery hybrid system by LUO Yuanxiang, FAN Lidong, WANG Yuhang, LIU Cheng, JIAO Yinghe, WANG Yunlong

“…According to the characteristics of the robust planning model, the column and constraint generation algorithm (C&CG) and strong pairwise theory are used to decompose the original problem into a major problem and sub-problem with mixed-integer linear characteristics to solve. …”
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prioriactions: Multi‐action management planning in R by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

“…Although the resulting optimization problems have typically been tackled using heuristic approaches, recent advances in mixed integer programming (MIP) solver technology have turned MIP‐based approaches into a practical alternative for solving complex conservation planning problems. …”
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Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

“…A multi-objective model based on mixed-integer linear programming is developed, considering sequence-dependent completion and setup time constraints. …”
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Planning and Scheduling System for Electric Vehicle Charging by Piotr Palka, Tomasz Sliwinski, Przemyslaw Kaszynski, Marta Kuta, Bogdan Ruszczak, Marcin Malec, Piotr Saluga, Jacek Kaminski

“…It benefits from a mixed-integer mathematical optimization model employed to efficiently select charging stations along the route. …”
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A heuristic method based on LP relexation to solve the multiple allocation modular hub location problem by Zahra Arabzadeh Nosrat Abad, Farid Momayezi, Nader Ghaffarinasab

“…The results give the optimal number of hubs, as well as the optimal number of transportation units on each arc of the network, which depend on the capacity of the means of transportation.Originality/Value: In this research, a mixed integer programming model is developed for the multiple allocation modular hub location problem. …”
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An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare by Arfan Ghani, Akinyemi Aina, Chan Hwang See

“…A cornerstone of our methodology is the emphasis on parallel processing, data type optimization, and reduced logic space usage through 8-bit integer operations. …”
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Battery swapping scheduling for electric vehicles: a non-cooperative game approach by Yu Zhang, Tao Han, Wei He, Jianhua Xia, Lichao Cui, Zuofu Ma, Shiwei Liu

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A decomposition approach for integrated locomotive scheduling and driver assignment in rail freight transport by Andreas Bärmann, Alexander Martin, Jonasz Staszek

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Explicit Modeling of Multi-Product Customer Orders in a Multi-Period Production Planning Model by Cristian D. Palma, Francisco P. Vergara, Sebastián Muñoz-Herrera

“…Consequently, traditional production planning models enforce minimum demand constraints by product and period rather than by individual orders. …”
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Cooperative Scheduling Strategy of Energy Storage Systems for Regional Grid Supplied by Renewable Energy by Rui MA, Xiangjun LI, Wenqi LI, Dongxue GAO, Jingchao ZHANG, Ningxi SONG

“…With the decrease of fossil energy reserves and the deterioration of natural environment, increasing the proportion of renewable energy in power grid becomes the main goal of power grid development in the future. Considering the constraints of energy storage systems, hydropower station, photovoltaic power station, wind farm and power grid operation, a cooperative scheduling strategy of energy storage systems in the regional power grid with renewable energy was proposed, and an optimal scheduling model was established. …”
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Assessment of the Sustainability of University Academic Programs for the Accreditation: A Complex Challenge by Giada La Scalia, Simona Mancini, Roberto Gambino, Maria Ciaccio

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An application of Markowitz theorem on Tehran Stock Exchange by Hassan Ghodrati, Mohammad Abbasi

“…This frontier can be often detected via standard quadratic programming, categorized in convex optimization. Traditional Markowitz problem has been recently extended into a new form of mixed integer nonlinear problems by considering various constraints such as cardinality constraints, industry limitation, etc. …”
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Dockless bike-sharing system: Solving the problem of faulty bikes with simultaneous rebalancing operation by Muhammad Usama, Onaira Zahoor, Yongjun Shen, Qiong Bao

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Robust Optimization Models for Planning Drone Swarm Missions by Robert Panowicz, Wojciech Stecz

“…The presented methods for building a terrain model allow for solving the optimization problem using integer programming tasks.…”
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Cost Analysis and Optimization of Modern Power System Operations by Ahto Pärl, Praveen Prakash Singh, Ivo Palu, Sulabh Sachan

“…A critical challenge is maintaining the balance between electricity supply and demand within various operational constraints. This study addresses the economic scheduling of generation units using a Mixed Integer Programming (MIP) optimization model. …”
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An optimization model for network design in disaster relief planning by Kevin Palomino, Carmen Berdugo-Correa, David García-Barrios

“…This model, which was developed using a mixed-integer linear program - MILP, considers the availability of resources and the cost of different locations, as well as constraints that must be met to ensure timely aid delivery. …”
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Optimal Deployment of Electric Vehicles’ Fast-Charging Stations by Irfan Ullah, Kai Liu, Safa Bhar Layeb, Alessandro Severino, Arshad Jamal

“…This problem is formulated by five integer linear programming using a weighted set covering models. …”
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Radio Mean Labeling Algorithm, Its Complexity and Existence Results by Meera Saraswathi, K. N. Meera, Yuqing Lin

“…Radio mean labeling of a connected graph <i>G</i> is an assignment of distinct positive integers to the vertices of <i>G</i> satisfying a mathematical constraint called radio mean condition. …”
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Handing Optimization Energy Consumption in Heterogeneous Wireless Sensor Networks by Placido Rogerio Pinheiro, Álvaro Meneses Sobreira Neto, Alexei Barbosa Aguiar

“…This paper presents an integer linear programming model devoted to optimize the energy consumption efficiency in heterogeneous wireless sensor networks. …”
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Energy Efficiency Optimization Model for Sustainable Campus Buildings and Transportation by Atabek Movlyanov, Saltuk Buğra Selçuklu

“…University campuses face significant challenges in balancing energy efficiency, renewable energy adoption, and sustainable transportation while meeting budgetary constraints and sustainability goals. While existing optimization approaches typically address these as separate problems, this study presents an innovative multi-objective optimization framework that integrates building efficiency, renewable energy, electric vehicle charging, and sustainability scoring criteria into a unified model. …”
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