A Gateway Deployment Heuristic for Enhancing the Availability of Sensor Grids by Majid Hussain, Ki-Hyung Kim, Ali Hammad Akbar, Shehzad Khalid, Seung-Jin Bang, Mohsin Javed, Madiha Amjad

“…On the basis of our findings and results in conjunction with Moor's law of semiconductors and batteries, we propose a linear programming heuristic for multiple gateway deployment to reduce network survivability costs and optimize communication for wireless sensor grids. …”
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Implementation of flexible DEA structure in the management of business processes by Šegrt Slobodan, Tomić Radoljub, Anđelković Maja

“…DEA is a non-parametric technique based on linear programming for measuring the efficiency of decision-making units (DMU) with heterogeneous inputs/outputs. …”
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A Multimodal Passenger-and-Package Sharing Network for Urban Logistics by Yuxiong Ji, Yujing Zheng, Jizhou Zhao, Yu Shen, Yuchuan Du

“…A mixed integer linear programming model for hub location problems—fusing the multiassignment p-hub median problem without capacity constraints and the capacitated multiassignment p-hub covering problem—is formulated to optimize the multimodal PPS network. …”
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Optimal PV‐storage capacity planning for rail transit self‐consistent energy systems considering extreme weather conditions by Siyu Guo, Liuyang Cai, Haiyi Wu, Guanghui Song, Li Lin, Yanbo Chen

“…Finally, the model is linearized as mixed‐integer linear programming and solved using Gurobi and the Yalmip toolbox. …”
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A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) by Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard

“…The mathematical model developed in this research is of mixed integer linear programming type, which is implemented in GAMS software to solve it and find Pareto optimal solutions.Findings: The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the aluminium industry. …”
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A systematic literature review of aggregate production planning (APP): Social and economic perspectives by Wan Yee Leong, Kuan Yew Wong, Ali Anjomshoae

“…Findings: The outcome shows that most of the previous studies applied mixed-integer linear programming (MILP) methods in developing the APP models while stochastic and fuzzy methods are the most common approaches to deal with uncertainties. …”
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Designing a multi-period multi-stage supply chain network under uncertainty by Maryam Hemmati, Masoud Rabbani, Mohammad Reza Mehregan

“…To optimize this supply chain, a multi-objective Mixed Integer Linear Programming (MILP) model has been developed to formulate the problem. …”
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Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space by Fulu Yan, Lifeng Wei, Jun Yang, Binbin Shi

“…Thirdly, the two-stage model is transformed into a single-layer, mixed-integer linear programming problem using dyadic theory and Karush–Kuhn–Tucker (KKT) conditions, enabling the derivation of the optimal bidding strategy. …”
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Data-driven modeling of the aggregator-based price-maker virtual power plant (VPP) in the day-ahead wholesale electricity markets; evidence from the Japan Electric power Exchange (... by Mohamed Saad Suliman, Hooman Farzaneh

“…Data-driven modeling is structured using mixed integer linear programming (MILP) and based on hybridizing several concepts, including conventional unit commitment, hydropower scheduling, pumping storage dispatch, market clearing mechanism, variable renewable energy forecasts, price elasticity of demand, and shadow prices of production technologies. …”
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Interconnection algorithm of a wide range of pervasive devices for the Internet of things by Tao Chi, Ming Chen

“…The problem of optimization is defined as a linear programming problem in which each active transceiver is assigned to a channel on condition that all the constraint is met on every link. …”
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Analysis of a novel method for finding solutions of interval game problems via fuzzy approaches by Monika Bisht, Shivam Rawat, Junaid Ahmed

“…The solu-tion for the subsequent crisp matrix game is obtained using a graphical technique or linear programming problem ap-proach. Additionally, numerical examples are provided for validation of the presented method. …”
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Optimizing transient gas network control for challenging real-world instances using MIP-based heuristics by Hennings, Felix, Hoppmann-Baum, Kai, Zittel, Janina

“…In this paper, we present the latest improvements of our ongoing work to tackle this problem for real-world, large-scale problem instances: By adjusting our mixed-integer non-linear programming model regarding the gas compression capabilities in the network, we reflect the technical limits of the underlying units more accurately while maintaining a similar overall model size. …”
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Presenting a robust optimization model for the design of the green loop supply chain network in the power plant by taking into account the disruption in the supply chain by Javad Mohammadghasemi, Seyyed Esmaeil Najafi, Mohammad Fallah, Mohammad Reza Nabatchian

“…The aim of presenting this supply chain network is to meet customer demands for solar panels to generate clean energy.Methodology: A mixed-integer linear programming model, including facility location, supplier selection, optimal flow allocation, and determination of the optimal price of solar panels in the network, is considered. …”
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Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique by Hafiz Ghulam Murtza Qamar, Xiaoqiang Guo, Ehab Seif Ghith, Mehdi Tlija, Abubakar Siddique

“…The achieved results and numerical analysis affirm the superiority of the proposed technique compared to other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh optimization (VMO), and Cataclysmic genetic algorithm in optimizing component sizing, renewable production, hydrogen production, reliability, cost effective, and overall efficacy. …”
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Market-based or policy strategies to increase the cultivation of legumes for livestock? Effects on the cropping pattern and economic performance by Efstratios Michalis, Athanasios Ragkos, Chrysovalantis Malesios

“…Using technical and economic data from 45 farms that cultivate annual arable crops in Greece, with special emphasis on LL, a Linear Programming model was constructed to examine the potential role of each one of the three identified farm types in the expansion of LL in Central Greece (Baseline Solution—BS). …”
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Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers by Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Mostafa Hajiaghaei-Keshteli, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė

“…Developing a Robust Stochastic-Possibilistic (RSP) based on PFNs under fuzzy scenarios, presenting measures of necessity, possibility, and credibility for making decisions founded on different levels of DMs’ risk, and proposing global solutions through providing linear programming models are the main innovations and contributions of the present research. …”
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A sustainable and reliable model for iron closed-loop supply chain network design with considering risk and lateral transmision and developed multi-objective decision-making method by Hamid Saffari, Morteza Abbasi, Jafar Gheidar-Kheljani

“…Purpose: This research proposes a multi-objective and robust model considering both cost and risks related to the environment (water consumption and environmental pollution), social responsibility (working conditions and employee health), operations (change in demand and return rates), and disruption (accs and diseases such as COVID-19) in the supply chain, using horizontal collaboration to deal with it.Methodology: In this research, mixed-integer linear programming and robust optimization technique have been used for closed-loop supply chain network design and a multi-objective method has been developed to solve the problem and create Pareto spaces.Findings: The results of the calculations show the effect of failure probability on the capacity of the facility, the total cost of the network and the degree of collaboration between members of the supply chain to deal with the risk. …”
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Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model by Maria Teresa Pereira, Nuno Rocha, Francisco Gomes Silva, Miguel Ângelo Lellis Moreira, Yusuf Ozden Altinkaya, Marisa João Pereira

“…This study presents a Mixed Integer Linear Programming (MILP) model to address inefficiencies in berth allocation and stevedoring processes at the Port of Leixões, Portugal. …”
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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

“…A mixed-integer linear programming formulation is designed to approximate these quadratic descriptors for inferring desired compounds with the two-layered model. …”
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Presentating a multi-objective optimization model for resource-constrained project scheduling regarding financial costs, time delays and the reliability function by Saeideh Naderi, Mohsen Vaez-Ghasemi, Farzad Movahedi Sobhani

“…Hence, in order to mathematically model RCPSP, the first non-linear complex integer math programming was transformed into a linear programming model using the features of exponential functions. …”
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