SDN-Enabled Resource Orchestration for Industrial IoT in Collaborative Edge-Cloud Networks by Jude Okwuibe, Juuso Haavisto, Ivana Kovacevic, Erkki Harjula, Ijaz Ahmad, Johirul Islam, Mika Ylianttila

“…The proposed approach models resource allocation as a <italic>Constraint Satisfaction Problem</italic> (CSP) where optimality is based on the solution of a predefined <italic>Satisfiability</italic> (SAT) problem. …”
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A Survey of Approximation Algorithms for the Universal Facility Location Problem by Hanyin Xiao, Jiaming Zhang, Zhikang Zhang, Weidong Li

“…The facility location problem is a classical combinatorial optimization problem with extensive applications spanning communication technology, economic management, traffic governance, and public services. …”
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An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem by Skander Htiouech, Khalil Chebil, Mahdi Khemakhem, Fidaa Abed, Monaji H. Alkiani

“…The MILP-MPCT was designed using linear programming technique to build two objective functions that minimize the total time and energy consumed by UAVs under a set of constraints related to the MPCT problem. In order to validate the MILP-MPCT, we simulated it using IBM-ILOG-CPLEX optimization framework. …”
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Network capacity with probit-based stochastic user equilibrium problem. by Lili Lu, Jian Wang, Pengjun Zheng, Wei Wang

“…Among different stochastic user equilibrium (SUE) traffic assignment models, the Logit-based stochastic user equilibrium (SUE) is extensively investigated by researchers. It is constantly formulated as the low-level problem to describe the drivers' route choice behavior in bi-level problems such as network design, toll optimization et al. …”
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Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications by Yujie Chen, Guangyu Wang, Baichuan Yin, Chongyun Ma, Zhiqiao Wu, Ming Gao

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On the Game-Based Approach to Optimal Design by Vladimir Kobelev

“…There are two formulations of optimization. For the single cardinal player, the pursuit of the maximum and minimum values of the game reduces the problem of optimal design. …”
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TSP solution using an exact model based on the branch flow formulation and automatic cases generation via the Julia software by Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños, Jorge Ardila-Rey

“…The traveling salesman problem (TSP) is a classical optimization problem with practical applications in logistics, transportation, and network design. …”
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Fixed-Time Event-Triggered Control of Nonholonomic Mobile Robots with Uncertain Dynamics and Preassigned Transient Performance by Yong Wang, Yunfeng Ji, Wei Li, Xi Fang

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Deep Reinforcement Learning with Local Attention for Single Agile Optical Satellite Scheduling Problem by Zheng Liu, Wei Xiong, Chi Han, Xiaolan Yu

“…A mathematical model is first established to describe this problem, which considers a series of complex constraints and takes the profit ratio of completed tasks as the optimization objective. …”
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Performance optimization on RIS-assisted communication for anti-jamming by LI Yapeng, MA Junyu, LI Qiang, GE Xiaohu

“…In order to maximize the signal to interference-plus-noise ratio(SINR) of the legitimate signals, a joint optimization problem of the transmit beamforming vector and the reflection coefficient matrix of RIS was formulated, considering multiple constraints such as transmit power and reflection phase shift of RIS. …”
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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…Thus, this paper proposes a two-stage scheduling framework with two-stage deep reinforcement learning to address this problem. First, the scheduling process is decomposed into a task sequencing stage and an observation scheduling stage, and a mathematical model with complex constraints and two-stage optimization objectives is established to describe the problem. …”
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An Optimization Model for Production Scheduling in Parallel Machine Systems by Leting Zu, Wenzhu Liao, Xiaoxia Yang

“…This paper presents a tailored optimization model designed to address a more complex production scheduling problem that incorporates parallel machines and preventive maintenance. …”
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Optimization of non-smooth functions via differentiable surrogates. by Shikun Chen, Zebin Huang, Wenlong Zheng

“…Through extensive testing on classical optimization benchmarks including Rosenbrock, Levy, and Rastrigin functions with varying dimensions and constraint conditions, we demonstrate that our method achieves solutions up to 40% better than traditional methods while reducing computation time by orders of magnitude. …”
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Optimizing the Cleaning and Disinfection Scheme for Dockless Shared Bikes by Rong Zheng, Hongtai Yang, Lanzhen Jiang, Jinghai Huo, Xiaoqian Lu, Malik Muneeb Abid

“…By regarding the disinfection staff as traveling salesmen, the model is formulated as an extension of the Multidepot Multiple Traveling Salesman Problem (MDMTSP). …”
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Secrecy-Oriented Transmitter Optimization for Visible Light Communication Systems by Hong Shen, Yuqin Deng, Wei Xu, Chunming Zhao

“…Despite the fact that the corresponding optimization problem has a nonconvex fractional form, we are able to determine its locally optimal solution via Charnes&#x2013;Cooper transformation and minorization-maximization algorithm. …”
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A method for selecting optimal sections for members of skeletal structures by Chu Duc Nha

“…This is an extension of evolutionary structural optimization (ESO) to the sizing optimization problem with discrete design variables. …”
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Revised Harmonious Fuzzy Technique for Solving Fully Fuzzy Multi-Objective Linear Fractional Programming Problems by Maher A. Nawkhass

“…     The revised harmonious fuzzy technique (RHFT) is a method used to solve fuzzy optimization problems. It was capitalized as an extension of the classical linear programming technique to handle constraints and objectives that are fuzzy. …”
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A Graph-Based Ant Colony Optimization Approach for Process Planning by JinFeng Wang, XiaoLiang Fan, Shuting Wan

“…The complex process planning problem is modeled as a combinatorial optimization problem with constraints in this paper. …”
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Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning by Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan

“…Often, this is a complex, multi-constraint, and non-linear optimization problem, and metaheuristic algorithms are frequently used to solve it. …”
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An Improved Large Neighborhood Search for Network-Level Airport Slot Allocation Optimization by Qiangzhe Wang, Yuanyuan Ma, Yifan Xu, Zhiyuan Shen, Dan Li

“…While the complex slot allocation problem has been studied extensively, most research focuses on single airports, overlooking interactions with other airports. …”
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