Millimeter-Wave Underlay D2D Communications: Channel Assignment, Transmission mode Selection and Power Control for Full-CSI and Limited-CSI Scenarios by Nima Reisi

“…As the optimization problem is mixed-integer-non-linear programming, two heuristic algorithms are proposed, assuming full Channel Side Information (CSI) and limited CSI at Base Station, respectively. …”
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Safe cooperative control of CAVs at signal-free intersection under realistic scenarios by Yuta Nakai, Toru Namerikawa

“…In the first stage, the merging time, defined for each CAV as the time at which the CAV reaches the intersection, is obtained by solving mixed integer linear programming (MILP). In the second stage, each CAV solves an optimal control problem to determine the control input that allows it to reach the intersection at the merging time obtained in the first stage. …”
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The climate impact and land use of cultivated meat: Evaluating agricultural feedstock production. by Hanno Kossmann, Thorsten Moess, Peter Breunig

“…The specific objectives are to determine the minimum land area required to produce a certain amount of cell medium-feedstock for CM production-on agricultural land and to identify potential future land use scenarios assuming that the macro components of the cell medium are solely produced from common agricultural crops in southern Germany. A linear programming model was developed to analyze four different scenarios of CM production, considering factors such as crop rotation, nutrient sourcing, and solar energy use. …”
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Robust Train Scheduling Problem with Optimized Maintenance Planning on High-Speed Railway Corridors: The China Case by Chuntian Zhang, Yuan Gao, Wenjie Li, Lixing Yang, Ziyou Gao

“…Furthermore, some linearization techniques are used to formulate a mixed-integer linear programming (MILP) model. Finally, numerical experiments are implemented to prove the effectiveness of the proposed model and optimization method.…”
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A Dual Resource Constrained Unrelated Parallel Machine Scheduling Model Considering Tardiness and Workload Balance by Karina Amanda Larasati, Sukoyo Sukoyo, Muhammad Akbar

“…This issue employs three methodologies: Mixed-Integer Linear Programming (MILP), Mixed-Integer Quadratic Problem (MIQP), and Mixed-Integer Quadratically Constrained Programming (MIQCP).  …”
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A Hybrid Estimation of Distribution Algorithm and Nelder-Mead Simplex Method for Solving a Class of Nonlinear Bilevel Programming Problems by Aihong Ren, Yuping Wang, Fei Jia

“…In the proposed approach, for fixed upper level variable, we make use of the optimality conditions of linear programming to deal with the follower’s problem and obtain its optimal solution. …”
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Coverage bias in small molecule machine learning by Fleming Kretschmer, Jan Seipp, Marcus Ludwig, Gunnar W. Klau, Sebastian Böcker

“…Although this method is computationally hard, we introduce an efficient approach combining Integer Linear Programming and heuristic bounds. Our findings reveal that many widely-used datasets lack uniform coverage of biomolecular structures, limiting the predictive power of models trained on them. …”
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A hybrid particle swarm optimization algorithm for single machine scheduling with sequence-dependent setup times and learning effects by Payam Chiniforooshan, Dragan Marinkovic

“…A Mixed Integer Linear Programming (MILP) model capable of solving small-sized problems is proposed to formulate this problem. …”
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A Competitive Bilevel Programming Model for Green, CLSCs in Light of Government Incentives by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…So, a bilevel mixed-integer linear programming model is formulated. The objective function at both levels includes market capture profit, fixed and operating costs, and financial incentives. …”
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IRS-assisted D2D system resource allocation and RCG beamforming optimization in H-CRAN by XU Xiaorong, XUE Jishou, WU Jun, BAO Jianrong

“…To solve the formulated mixed-integer non-linear programming problem, a channel-strength-based deferred acceptance algorithm was proposed to obtain channel reuse indicators. …”
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Performance measurement in data envelopment analysis: a BCC-based approach by Azam Pourhabib Yekta, Mahnaz Maghbouli

“…Purpose: Data Envelopment Analysis (DEA) is a technique used to assess performance and measure the relative efficiency of Decision Making Units (DMUs) through linear programming. In most cases, DEA models evaluate inefficient units on the boundary of the production possibility set using reference points that are not Pareto efficient. …”
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A Short Turning Strategy for Train Scheduling Optimization in an Urban Rail Transit Line: The Case of Beijing Subway Line 4 by Miao Zhang, Yihui Wang, Shuai Su, Tao Tang, Bin Ning

“…The MINLP model is then transformed into a mixed integer linear programming (MILP) model according to several transformation properties. …”
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Optimization of the Shunting Operation Plan at Electric Multiple Units Depots by Jintang Shi, Haodong Li

“…As the SOP is currently handled manually by dispatchers, this paper proposes two integer linear programming models for two types of yards for daily planning and dispatching, which aim at minimizing the total delay time of all EMUs during the planning horizon. …”
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Revisiting a Cutting-Plane Method for Perfect Matchings by Chen, Amber Q., Cheung, Kevin K. H., Kielstra, P. Michael, Winn, Avery D.

“…On large graphs (roughly $m>100$), these perturbations lead to cost values that exceed the precision of floating-point formats used by typical linear programming solvers for numerical calculations. We demonstrate, by a sequence of counterexamples, that perturbations are required for the algorithm to work, motivating our formulation of a general method that arrives at the same solution to the problem as Chandrasekaran et al. but overcomes the limitations described above by solving multiple linear programs without using perturbations. …”
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Equity-Oriented Train Timetabling with Collaborative Passenger Flow Control: A Spatial Rebalance of Service on an Oversaturated Urban Rail Transit Line by Chaoqi Gong, Baohua Mao, Min Wang, Tong Zhang

“…Considering train regulation constraints and passenger loading dynamics, a mixed-integer linear programming model is formulated. Based on the linear weighting technique, an iterative heuristic algorithm combining the tabu search and Gurobi solver is designed to solve the proposed model. …”
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Improved WASPAS method for determining criteria priority and weights in solving MADM problems: a case study to determine leadership style in Covid-19 pandemic by Mehdi Soltanifar, Seyyed Mohammad Zargar, Maryamsadat Aman

“…Purpose: The purpose of this research is to provide a hybrid and improved version of one of the Multi-Attribute Decision-Making (MADM) methods, which is a more useful tool for decision support due to the constructive interaction with the decision-maker.Methodology: For this purpose, a linear programming problem with weight restriction and discrimination intensity functions was used to present the improved WASPAS method, and thus, when the explicit weight for the indicators was not taken from the decision maker, it was possible to rank the options.Findings: The results of comparing the use of the proposed method with the WASPAS method showed that this method has a good capability for use in multi-criteria decision making problems and in this particular issue, the results of using this method showed that in the context of the Covid-19 epidemic, the supportive leadership style had the highest rank among the leadership styles, followed by the transactional leadership, participatory, transformational and was placed authoritative.Originality/Value: In this study, the improved WASPAS method was presented to determine the priority and weight of criteria in solving MADM problems and to determine the organizational leadership style in the Covid-19 pandemic.…”
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Location Problem - Routing a vehicle with a specified fuel capacity based on a tough time window and customer satisfaction by Mohammad Moshrefi

“…In this research, first, a mixed integer linear programming model is presented and then metaheuristic method based on Non-dominated Sorting Genetic Algorithm is proposed to find the optimal solution. …”
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Optimizing the Location of Virtual Stations in Free-Floating Bike-Sharing Systems with the User Demand during Morning and Evening Rush Hours by Zhuo Sun, Yiming Li, Yi Zuo

“…This optimization problem is generally formulated as a mixed-integer linear programming (MILP) model to maximize the user demand. …”
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Analysis of performance indicators in terms of healthy city in Khuzestan province city by using data envelopment analysis (DEA) by nafise marsousi, majid akbari, nazanin hajipour, vahid boustan ahmadi

“…To analyze the data from the non-parametric linear programming technique of data envelopment analysis, cross ineffective, models and software Dea slover Shannon entropy is used. …”
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Optimizing cut order planning: A comparative study of heuristics, metaheuristics, and MILP algorithms by Sharif Al-Mahmud, Jose Alejandro Cano, Emiro Antonio Campo, Stephan Weyers

“…The first approach uses conventional metaheuristic algorithms, while the second transforms the nonlinear COP mathematical model into a Mixed Integer Linear Programming (MILP) problem and uses commercial solvers for solution. …”
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