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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Research on the Distribution of Emergency Supplies during the COVID-19 Epidemic by Jian-guo Zheng, Qing Yang, Shui-lin Chen

“…With the shortest total distribution distance as the objective function, a mathematical model of mixed integer linear programming is established, and the crossover operation of the genetic algorithm, the destruction operator and the repair operator of the large neighborhood search algorithm are introduced in the brain storm optimization algorithm to enhance the diversity of the solution while making the solution toward the optimal direction. …”
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System-level modeling with temperature compensation for a CMOS-MEMS monolithic calorimetric flow sensing SoC by Linze Hong, Ke Xiao, Xiangyu Song, Liwei Lin, Wei Xu

“…Results show that the linear programming for the low-temperature drift in the SoC output is characterized by a compensation resistor R c with a resistance value of 748.21 Ω and a temperature coefficient of resistance of 3.037 × 10−3 °C−1 at 25 °C. …”
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Optimizing the Citra Raya Conservation Lake as Raw Material for Clean Water Treatment in the Citra Raya Residential Area, Tangerang by Suprapti S., Vebruara Ringgo, Hidayat Acep, Isradi Muhammad, Firdaus Hendy Yusman

“…Optimization using linear programming. Optimization results show that the availability of raw water in the conservation lake is sufficient to meet the clean water demand of the Citra Raya area every month. …”
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Development a forward-reverse network optimization model with delay reduction and multistage fuzzy demand satisfaction policy by Vajiheh Torkian, Amir Shojaie, Omid Boyer Hassani

“…The proposed model is mixed-integer linear programming and for its validation and applicability, it has been solved by GAMS software, a numerical example using simulated data in deterministic and uncertain state. …”
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Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four-Echelon Supply Chain by Daniel Arturo Olivares Vera, Elias Olivares-Benitez, Eleazar Puente Rivera, Mónica López-Campos, Pablo A. Miranda

“…The model is formulated as a mixed-integer linear programming problem and solved by using well-known commercial software. …”
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Improving resilience of networked multi-energy carrier microgrids through proactive scheduling by Ali Akbar Ghasemi, Mohsen Gitizadeh, Mohammadali Norouzi

“…The optimization problem is modeled as a two-stage mixed-integer linear programming. In the first stage, scheduling of the microgrids is programmed in normal mode. …”
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Collaborative Multidepot Petrol Station Replenishment Problem with Multicompartments and Time Window Assignment by Guangcan Xu, Maozeng Xu, Yong Wang, Yong Liu, Qiguang Lv

“…To improve the system operational efficiency and reduce costs, we formulate and solve a collaborative multidepot petrol station replenishment problem with multicompartments and time window assignment by establishing a mixed-integer linear programming model. The hybrid heuristic algorithm composed of genetic algorithm and particle swarm optimization is used as a solution, and then the Shapley value method is applied to analyze the profit allocation of each petrol depot under different coalitions. …”
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A Hybrid Approach to Model Additive Manufacturing Factory Flow for the Aerospace Sector by Mostafa K. A. Salem, Fabrizio Scarpa, Ashutosh Tiwari

“…To address this challenge, this paper proposes a hybrid approach that combines Linear Programming (LP) with DES for efficient and accurate facility design. …”
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A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds by Ming Wei, Binbin Jing, Jian Yin, Yang Zang

“…This study proposes a multiobjective mixed integer linear programming (MOMILP) model for a demand-responsive airport shuttle service. …”
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A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics by Sedat Belbağ

“…This study addressed a mixed-integer linear programming model for a vehicle routing problem under returns and emission considerations in B2C e-commerce logistics.Methodology: This study proposes a mathematical model to solve a variant of the vehicle routing problem. …”
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A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets by Qing Dou, Xiang Gao, Yuheng Wu, Yu Chen, Rui Xie, Jialin Chen

“…Finally, a linear relaxation method is applied to transform the proposed strategy into a mixed‐integer linear programming problem for enhancing the computation efficiency. …”
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Virtual Node-Driven Cloud–Edge Collaborative Resource Scheduling for Surveillance with Visual Sensors by Xinyang Gu, Zhansheng Duan, Guangyuan Ye, Zhenjun Chang

“…Then, we propose a convex-objective integer linear programming (ILP) model based on this concept and demonstrate its efficiency. …”
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Parking Demand vs Supply: An Optimization-Based Approach at a University Campus by Navid Nadimi, Sanaz Afsharipoor, Amir Mohammadian Amiri

“…Afterward, an integer linear programming model with the objective function of maximizing parking probability is employed, considering several related constraints. …”
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Optimal Charging Scheduling and Management with Bus-Driver-Trip Assignment considering Mealtime Windows for an Electric Bus Line by Yang Jiang, Tong He

“…A discretized mixed-integer linear programming (MIPL) model is developed based on a single electric bus route. …”
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