Optimization of drawing scheduling based on mixed integer programming in block cave mining by REN Zhu-li, BI Lin, WANG Li-guan, CHEN Xin

“…Taking the ore reserve quantity, ore grade, drawing index and production scheduling index as the constraints and the grade fluctuation as the objective function, a drawing scheduling optimization model was built based on the mixed integer programming method. …”
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A Mixed‐Integer Linear Programming Framework for Optimization of Water Network Operations Problems by Meghna Thomas, Lina Sela

“…The mathematical framework governing the distribution of flows and heads in extended period simulations of WDSs lends itself to application in a wide range of optimization problems. Applying the classical mixed integer linear programming (MILP) approach to model WDSs hydraulics within an optimization framework can contribute to higher solution accuracy with lower computational effort. …”
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Offshore wind farm layout optimization with alignment constraints by P. Malisani, T. Bartement, P. Bozonnet

“…The literature has not yet investigated the wind farm layout optimization problem under alignment constraints. This paper makes two contributions. …”
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Optimizing appliance scheduling for utility and budget in smart energy systems under inclining block rate tariffs by Ahmed Shaban, Mohamed Salhen, Mohamed A. Shalaby, Tamer F. Abdelmaguid

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Optimizing Electric Cold-Chain Vehicle Scheduling for Sustainable Urban Logistics: A Novel Framework Balancing Freshness and Vehicle Charging by Zhenkun Gan, Peiwu Dong, Zhengtang Fu, Yanbing Ju, Yajun Shen

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A Generalized Benders Decomposition for Mixed-Integer Nonlinear Programming: Theory and Applications by Fadiah Hasna Nadiatul Haq, Diah Chaerani, Anita Triska

“…The MINLP problem is an optimization model in which some variables must be integers and the objective function or constraints are nonlinear.  …”
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Optimization of Broiler Chicken Harvest Scheduling using Integer Linear Programming: A Case Study by Danang Setiawan, Hilmi Akbar Wijaya

“…The Integer Linear Programming model was developed to obtain an optimal harvest schedule to maximize income with respect to operational constraints. …”
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Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs by Sergio Muñoz-Tapasco, Andrés F. Calvo-Salcedo, Jose A. Jaramillo-Villegas

“…While current algorithms have improved allocation efficiency, further development is necessary to optimize network performance. This paper presents an integer linear programming (ILP)-based method for network resource allocation, aiming to maximize the number request and the bandwidth assigned to each. …”
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IMPLEMENTATION OF INTEGER PROGRAMMING USING THE BRANCH AND BOUND METHOD ASSISTED BY PYTHON IN OPTIMIZING THE PRODUCTION OF COOKIES by Nira Nityasa Saranta, Susi Setiawani, Rafiantika Megahnia Prihandini, Antonius CahyaPrihandoko, Edy Wihardjo

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Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

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Mixed Integer Nonlinear Programming-Based Unit Commitment of Conventional Thermal Generators Using Hybrid Evolutionary Algorithms by Syed Arslan Ali Shah, Noor Hussain Mugheri, Riaz Hussain Memon, Aamir Ali Bhatti, Muhammad Usman Keerio

“… Unit Commitment (UC) discusses the optimized generation resources (to turn on economical generators and turn off expensive generators),which are subjected to satisfy all the operational constraints. …”
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Optimal charging station placement of electric vehicles in the smart distribution network based on the mixed integer linear programming by Mehdi Veisi, Hossein Naderian, Mazaher Karimi

“…The mentioned problem can be described as mixed integer nonlinear programming (MINLP). Nevertheless, the MINLP optimization problem tends to run very slowly when the dimension of the grid increases significantly, and that’s why it is unlikely that we obtain an absolute optimal solution. …”
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Cons-training tensor networks: Embedding and optimization over discrete linear constraints by Javier Lopez-Piqueres, Jing Chen

“…Utilizing this canonical form, we apply an unsupervised training strategy to optimize arbitrary objective functions subject to discrete linear constraints. …”
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AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization by Oustry, Antoine

“…Leveraging these Conic Programming constraints, we dynamically generate Mixed-Integer Linear Programming (MILP) relaxations, whose solutions asymptotically converge to global minimizers of the AC Optimal Power Flow problem. …”
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Optimal Operation of a Tablet Pressing Machine Using Deep-Neural-Network-Embedded Mixed-Integer Linear Programming by Jialong Li, Lan Wu, Yuang Qin, Haojun Zhi

“…This paper presents a deep neural network (DNN)-embedded mixed-integer linear programming (MILP) model for fault prediction and production optimization in tablet pressing machines. …”
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Total Tardiness Minimization in a Single-Machine with Periodical Resource Constraints by Bruno Prata, Levi Ribeiro de Abreu, Marcelo Seido Nagano

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Optimal Parking Slots Reservation and Allocation Problem for Periodic Parking Platforms with Preference Constraints by Xianmin Song, Tianshu Zhan, Haitao Li, Bo Liu, Yunxiang Zhang, Xin Liu

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Ev charging management in a real-time optimization framework considering operational constraints by Hilmi Cihan Güldorum, Ayşe Kübra Erenoğlu, İbrahim Şengör, Barry P. Hayes, Ozan Erdinç

“…This study proposes a mixed integer quadratically constrained programming (MIQCP) framework to optimize the operation of an EV parking lot (EVPL) under DS constraints. …”
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Load-dependent vehicle routing problem with route time constraint: a heuristic approach by Nguyen Thuy Trang, Parthana Parthanadee, Jirachai Buddhakulsomsiri, Pham Duc Tai

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A Make-to-Order Capacitated Lot-Sizing Model with Parallel Machines, Eligibility Constraints, Extra Shifts, and Backorders by Felipe T. Muñoz, Juan Ulloa-Navarro

“…The MILP model is solved using open-source optimization tools, specifically the HiGHS solver. The results show that optimal solutions can be obtained within reasonable computational times. …”
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