Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

“…The algorithm shall suggest to the planning operators an optimized scheduling of the activities, i.e., one which minimizes the total completion time (the makespan), while satisfying all the applicable constraints. …”
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PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming by Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong

“…Then, we innovatively designed a new joint loss function and PIP constraints to guide the iterative optimization of model parameters. …”
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Integer programming‐based non‐uniform window decoding schedules for spatially coupled low‐density parity‐check codes by Sirawit Khittiwitchayakul, Watid Phakphisut, Pornchai Supnithi

“…Here, the authors present a new non‐uniform schedule based on integer programming, whereby the objective functions and constraints are derived from a protograph‐based extrinsic information transfer chart. …”
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Balancing line hardening, distributed generation and de-energization for wildfire risk mitigation with microgrid formation by Mengqi Yao, Shunbo Lei, Weimin Wu, Duncan S. Callaway

“…We propose a robust mixed-integer programming model to co-optimize the investment cost, system resilience, and wildfire risk. …”
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Enhanced Reliability Assessment in Distribution Network Planning via Optimal Double Q Strategy with Explicit Topology-Variable Consideration by J. Jiang, Q. Luo, Z. Xu, H. Li, C. Gao

“…Additionally, recognizing the discrete decision-making aspects of the planning issue, a mixed-integer linear programming model is developed. By utilizing the adaptive ε-constraint method, the study investigates the global Pareto frontier between reliability and cost, offering valuable decision-making support for planners. …”
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Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach by Jinkui Li, Huahui Li

“…The main objective of this study is to minimize the considered objective function (OF). Several constraints are also considered in this optimization problem, which should be met by the proposed method. …”
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A Distributional Robust Distribution Network Reconfiguration Method Based on Compressed Switch Candidate Set by Haocheng DU, Shilong LI, Yuntao JU, Jinqi ZHANG

“…It transformed the model into a mixed-integer second-order conic planning problem by deterministically transforming the worst-case expectation and chance constraints in the objective function by using a dual transformation method. …”
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Trade-off between computation time and solution quality for integrated generation and transmission expansion planning with N-1 security criterion by Lucas Y. Okamura, Carmen L.T. Borges, Gianfranco Chicco

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A Short-Term Optimal Scheduling Model for Wind-Solar-Hydro-Thermal Complementary Generation System Considering Dynamic Frequency Response by Qiuyan Zhang, Jun Xie, Xueping Pan, Liqin Zhang, Denghui Fu

“…Then the dynamic frequency response constraints are incorporated into the traditional optimal scheduling model and the Mixed Integer Linear Programming (MILP) method is used to solve it. …”
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Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways by LIAO Haizhu, HU Haitao, HUANG Yi, GE Yinbo, GENG Anqi, WANG Ke

“…Secondly, the nonlinear constraints in the model were linearized and transformed into a mixed-integer linear programming problem, which was then solved by the CPLEX solver. …”
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A Mixed-Integer Linear Programming Model for Addressing Efficient Flexible Flow Shop Scheduling Problem with Automatic Guided Vehicles Consideration by Dekun Wang, Hongxu Wu, Wengang Zheng, Yuhao Zhao, Guangdong Tian, Wenjie Wang, Dong Chen

“…By using the adjacent sequence modeling idea, a mixed-integer linear programming (MILP) model is established, which takes into account the constraints of the production process and AGV transportation task conflicts with the aim of minimizing the makespan and improving overall operational efficiency. …”
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Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach by Noor Yusuf, Roberto Baldacci, Ahmed AlNouss, Tareq Al-Ansari

“…Notably, the case considering fixed and operating cost variables together as a single cost variable in the objective function, referred to as annualised cost (case C), offered optimal cost quantification with relaxed technical constraints. …”
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TSP solution using an exact model based on the branch flow formulation and automatic cases generation via the Julia software by Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños, Jorge Ardila-Rey

“…This research proposes an efficient mixed-integer linear programming (MILP) model based on the branch flow formulation which prevents the formation of sub-tours during the solution process and guarantees valid optimal routes. …”
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Static Scheduling of Periodic Hardware Tasks with Precedence and Deadline Constraints on Reconfigurable Hardware Devices by Ikbel Belaid, Fabrice Muller, Maher Benjemaa

“…Task graph scheduling for reconfigurable hardware devices can be defined as finding a schedule for a set of periodic tasks with precedence, dependence, and deadline constraints as well as their optimal allocations on the available heterogeneous hardware resources. …”
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Hierarchical Facility Location Model for allocating cancer treatment units in interior of Rio de Janeiro by Isabella Fischer Guindani Vieira, Matheus Ferreira de Barros, Allan Cormack

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Multi-Static Radar System Deployment Within a Non-Connected Region Utilising Particle Swarm Optimization by Yi Han, Xueting Li, Tianxian Zhang, Xiaobo Yang

“…This paper is mainly devoted to studying the deployment problem of a multi-static radar system (MSRS) within a non-connected deployment region using multi-objective particle swarm optimization (MOPSO). By modeling and reformulating the problem, it can be represented as a multi-objective mixed integer programming (MOMIP), which eliminates the need for additional constraints. …”
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Unit combination model considering the grid-forming control parameters of new energy station by Hui HUANG, Haoyin DING, Zhaohui QIE, Haijun CHANG, Zhiguang HUANG, Rui LYU

“…Thus，the optimal start-up mode of synchronous generators，the optimal reduction of new energy and the corresponding control parameters are obtained which meet the system frequency constraints. …”
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Revisiting a Cornuéjols-Nemhauser-Wolsey formulation for the p-median problem by Agostinho Agra, Cristina Requejo

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OPTIMASI PERENCANAAN PRODUKSI AGREGAT PRODUK TUNGGAL DENGAN MEMPERTIMBANGKAN KAPASITAS PRODUKSI by Denny Suci Prastiya, Rossi Septy Wahyuni

“…The research is conducted to minimize the number of sub-contract units while optimizing internal production. The optimization model was built with a linear objective function and a nonlinear constraint function as an optimization proposal for aggregrate production planning. …”
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Optimal model-based insulin dosing strategy with offline and online optimization by Martin Dodek, Eva Miklovičová, Miroslav Halás

“…Mathematically, this problem can be formulated as a bivariate, mixed real-integer optimization problem. The optimal insulin bolus size was derived in closed form, reducing the problem to a univariate, constrained integer optimization focused on determining the administration time. …”
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