An Activity Network Design and Charging Facility Planning Model Considering the Influence of Uncertain Activities in a Game Framework by Zechao Ma, Xiaoming Liu, Weiqiang Wang, Shangjiang Yang, Yuqi Yang, Yingjie Zhao, Hanqing Xia, Yuanrong Wang

“…For this mixed-integer nonlinear multi-objective multi-constraint optimization problem, the model is solved by the NSGA-II algorithm, and the optimal compromise scheme is determined by using the EWM-TOPSIS comprehensive evaluation method for the Pareto solution set. …”
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Two-Layer Coordinated Energy Management Method in the Smart Distribution Network including Multi-Microgrid Based on the Hybrid Flexible and Securable Operation Strategy by Mohammad Hosein Sabzalian, Sasan Pirouzi, Mauricio Aredes, Bruno Wanderley Franca, Ana Carolina Cunha

“…It is constrained to AC optimal power flow, flexibility and voltage security constraints, operation model of sources and storages, and demand response. …”
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Stochastic Cournot Model for Coordinated Strategic Bidding of Wind-Storage Systems by Swati Gupta, Bharat Bhushan Sharma, Pawan Kumar Pathak, Vivek Prakash, Sandeep Chawda, Sachin Sharma

“…A Mixed Integer Linear Programming (MILP) model is developed to determine the Nash equilibrium by evaluating a payoff matrix. …”
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Proposta de uma heurística construtiva baseada na TOC para definição de mix de produção A proposal of a constructive heuristics under the TOC for definition of production mix by Vinicius Amorim Sobreiro, Marcelo Seido Nagano

“…Thus, with the help of the Theory of Constraints - TOC, some constructive heuristics were presented to help solve those problems. …”
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Analyzing greedy vaccine allocation algorithms for metapopulation disease models. by Jeffrey Keithley, Akash Choudhuri, Bijaya Adhikari, Sriram V Pemmaraju

“…In this setting, vaccine bundles are allocated at a subpopulation level, and so the vaccine allocation problem can be formulated as a problem of maximizing an integer lattice function [Formula: see text] subject to a budget constraint [Formula: see text]. …”
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SlimPort: Port-Driven High-Level Synthesis for Continuous-Flow Microfluidic Biochips by Youlin Pan, Yanbo Xu, Ziyang Chen, Xing Huang, Genggeng Liu

“…In this paper, we propose a port-driven high-level synthesis method based on integer linear programming (ILP) called SlimPort, integrating the optimization of fluidic port number into high-level synthesis, which has never been considered in prior work. …”
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Modeling a Green and Reliable Intermodal Routing Problem for Food Grain Transportation Under Carbon Tax and Trading Regulations and Multi-Source Uncertainty by Yan Sun, Chen Zhang, Ailing Chen, Guohua Sun

“…This work incorporates wastage reduction by lowering the wastage costs and formulating a wastage threshold constraint in intermodal routing. Accordingly, a fuzzy mixed-integer nonlinear programming model for a green and reliable intermodal routing problem for food grain transportation is proposed. …”
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Method of adaptive component-based design of unmanned aerial vehicles suitable for military missions by Oleg Fedorovich, Leonid Malieiev, Tetyana Pisklova, Yevhenii Polishchuk

“…The research utilizes a range of mathematical methods and models, including: systems analysis for adaptive project activities related to UAV development; component-based UAV design method; lexicographic ordering for ranking design alternatives; expert evaluation techniques for identifying the most rational UAV configuration; targeted search method for optimal developer team formation using integer (Boolean) programming; and simulation modeling to plan the sequence of project activities for adapting UAV component architectures to new military applications. …”
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Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study by Fabienne Josefine Renggli, Maisa Gerlach, Jannic Stefan Bieri, Christoph Golz, Murat Sariyar

“…Artificial intelligence (AI) and mathematical optimization methods, such as mixed-integer programming (MIP), constraint programming (CP), genetic programming (GP), and reinforcement learning (RL), offer potential solutions to optimize scheduling and address these challenges. …”
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Performance and Achievable Rates of the Gottesman-Kitaev-Preskill Code for Pure-Loss and Amplification Channels by Guo Zheng, Wenhao He, Gideon Lee, Kyungjoo Noh, Liang Jiang

“…With no energy constraint, we show that when |τ/(1−τ)| is an integer, specific families of GKP codes simultaneously achieve the loss and amplification capacity. τ is the transmissivity (gain) for loss (amplification). …”
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Integrated method for multi-UAV task assignment and trajectory planning with deadlock based on Three-dimensional dubins path by Weinan Wu, Letian Zhang, Jiahao Le, Zeyu Lu

“…A genetic algorithm strategy based on parallel processing is established to realise the fast solution of the mixed integer programming problem; a depth-first algorithm is introduced to determine the feasibility of task planning by detecting the loop state of the timing constraint graph to eliminate the deadlock problem in execution. …”
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Automation of reversible steganographic coding with nonlinear discrete optimisation by Ching-Chun Chang

“…In this study, we formulate reversible steganographic coding as a nonlinear discrete optimisation problem with a logarithmic capacity constraint and a quadratic distortion objective. Linearisation techniques are developed to enable iterative mixed-integer linear programming. …”
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Multi-User Task Offloading Strategy in RIS-Aided Multi-AP Mobile Edge Computing Networks by Wen Zhou, Ling Miao, Dan Deng, Min Hua, Dan Xiang, Chunguo Li

“…The user association matrix and the RIS reflecting coefficients are jointly optimized to minimize the energy consumption of UEs, subject to the latency constraint and other ones. …”
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