Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks by Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong, Tai-Won Um, Jinsul Kim

“…The task placement challenge is modeled as an integer linear programming (ILP) problem aimed at minimizing overall system costs while adhering to stringent delay constraints. …”
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Model-Based Predictive Control for Position and Orientation Tracking in a Multilayer Architecture for a Three-Wheeled Omnidirectional Mobile Robot by Elena Villalba-Aguilera, Joaquim Blesa, Pere Ponsa

“…To evaluate the proposed control scheme, it was implemented in MATLAB R2024a using a lemniscate trajectory as the reference. The MPC problem was formulated as a quadratic optimization problem that considered the three states: the global position coordinates and orientation angle. …”
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An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow occlusion area, which not only considers the problem of disparity error estimation in the shadow occlusion areas but also considers the problem of edge integrity and smoothness in the disparity estimation results. …”
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A hybrid centralized-decentralized traffic control framework for unmanned aerial vehicles in urban low-altitude airspace by Xiangdong Chen, Shen Li, Meng Li

“…The concept of a “virtual flight container” (VFC) is introduced to regulate UAV space–time trajectories, ensuring conflict-free, low-delay operations while minimizing real-time computational requirements, especially in high demands. The problem is addressed using a bi-level optimization approach: The upper level focuses on solving the traffic assignment problem, considering airway capacity constraints, while the lower level designs space–time trajectories to ensure conflict-free operations and enhance traffic efficiency, thereby complementing the traffic control scheme. …”
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Economic Production Quantity Model under Back Order, Rework, Imperfect Quality, Electricity Tariff, and Emission Tax by Dana Marsetiya Utama, Yolanda Dwi Asmara Putri, Shanty Kusuma Dewi

“…To solve this complex optimization problem, the Genetic Algorithm (GA) is used for its efficiency in handling non-linear and combinatorial problems. …”
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Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays by Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU

“…Methods:To reduce inter-user interference,an improved K-means algorithm is proposed to group users and select a cluster head for each group of users, which maximizes the correlation of user channels in the same cluster and reduces the correlation between users in different clusters as much as possible;Then,a low-complexity analog precoding is designed to maximize the array gain of the antenna based on the relevant user channel matrix composed of the cluster head set, followed by a digital precoding designed to eliminate inter-user interference with the maximum equivalent channel gain between beams using a forced-zero technique; Finally, an EE maximization problem is formed to optimize the transmit power under users'quality of services and total transmit power constraints,and a two-layer iterative algorithm is proposed for the resulting non-convex optimization problem. …”
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Data-Driven Motion Planning: A Survey on Deep Neural Networks, Reinforcement Learning, and Large Language Model Approaches by Gabriel Peixoto de Carvalho, Tetsuya Sawanobori, Takato Horii

“…Several traditional approaches tackle this problem, such as sampling motion planning, grid-based methods, potential fields, and optimization techniques. …”
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Path Planning Method for Electric Vehicles Based on Freeway Network by Qichao Liu, Wei Wang, Xuedong Hua

“…Recently, electric vehicles (EVs) have received more and more attention, but the problem of the insufficient range is still the main reason that hinders electric vehicles to travel long distances. …”
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Assignment Technology Based on Improved Great Wall Construction Algorithm by Xianjun Zeng, Yao Wei, Yang Yu, Hanjie Hu, Qixiang Tang, Ning Hu

“…The problem of allocating multiple UAV tasks is a complex combinatorial optimization challenge, involving various constraints. …”
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Self-drive network development for socio-economic tourism: a mixed-method approach by Nattakan Rattanapan, Suriyan Jomthanachai, Danuphon Tippong, Patcharaporn Bunlueng

“…The evaluation results show that the optimization problem-solving tool of DEA is suitable for rating the valuableness of the route. …”
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A frequency domain-based loop shaping procedure for the parameter estimation of the fractional-order tilt integral derivative controller by Biresh Kumar Dakua, Bibhuti Bhusan Pati

“…The optimization toolbox fmincon in MATLAB is utilized for the solution process of the above constraint minimization problem. …”
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Jumping knowledge graph attention network for resource allocation in wireless cellular system by Qiushi Sun, Zhou Fang, Yin Li, Ovanes Petrosian

“…The realization of these features hinges on the development of rational resource allocation strategies to optimize the utilization of radio resources. This study addresses the beamforming design problem for downlink transmission in multi-cell cellular networks, with a focus on maximizing user data rates while adhering to stringent power constraints. …”
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An approach based on genetic algorithms and neural networks for QoS-aware IoT services composition by Rabah Boucetti, Ouassila Hioual, Sofiane Mounine Hemam

“…This makes the satisfaction of the user requirements often complex and a NP-hard problem. Indeed, respecting the QoS constraints (user preferences in terms of QoS) is a challenge, due to the high number of candidate services for the composition. …”
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Toward Proactive, Secure and Efficient Space-Air-Ground Communications: Generative AI-Based DRL Framework by Amayika Kakati, Guoquan Li, Elhadj Moustapha Diallo, Lilian Chiru Kawala, Nasir Hussain, Abuzar B. M. Adam

“…To tackle the demands of secrecy energy efficiency (SEE) in this dynamic and complex network, we formulate a non-convex optimization problem that jointly considers HAP trajectory, user-HAP association, and beamforming. …”
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Quantum Circuit Synthesis Using Fuzzy-Logic-Assisted Genetic Algorithms by Ishraq Islam, Vinayak Jha, Sneha Thomas, Kieran F. Egan, Alvir Nobel, Serom Kim, Manu Chaudhary, Sunday Ogundele, Dylan Kneidel, Ben Phillips, Manish Singh, Kareem El-Araby, Devon Bontrager, Esam El-Araby

“…In particular, we formulate the quantum synthesis problem as a multi-objective optimization (MOO) problem, with the objectives of minimizing the approximation error, number of multi-qubit gates, and circuit depth. …”
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A Second-Order Stochastic Dominance-Based Risk-Averse Strategy for Self-Scheduling of a Virtual Energy Hub in Multiple Energy Markets by Saba Norouzi, Mohammad Amin Mirzaei, Kazem Zare, Miadreza Shafie-Khah, Morteza Nazari-Heris

“…As risk management is critical for the participation of VEH in multiple energy markets, second-order-stochastic-dominance (SOSD) constraints are imposed on the scheduling problem instead of employing typical risk measures such as conditional value-at-risk (CVaR). …”
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Modelo de un muelle de ballestas considerando la fricción entre hojas. // Laminated spring model considering the friction between leaves. by J. Rodríguez Matienzo, L. Otero Pereiro

“…Considering contact and friction leads<br />to a non-linear problem, which must be solved using numerical methods (Newton-Raphson), resulting in a classic optimization<br />problem with constraints. …”
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Path following control of underground mining articulated vehicle based on the preview control method by MENG Yu, GAN Xin, BAI Guo-xing

“…The path following control system is a multi-variable, multi-constraint system. There are optimization problems under multiple constraints as well as challenges such as actuator saturation during the control process. …”
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Centralized and Decentralized Signal Control with Short-Term Origin-Destination Demand for Network Traffic by Can Zhang, Tony Z. Qiu, Amy Kim

“…Because the optimization of large-scale network traffic signals can involve sizeable numbers of decision variables and nonlinear constraints, making it a nondeterministic polynomial time (NP) complete problem, we further decompose the centralized system into a decentralized system where the network is divided into subnetworks. …”
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Sensing-Aided Communication Method for Distributed Radar Communication System by Xinren Wang, Sisi Xia, Zhongzheng Ding, Qin Wang, Wenchao Xia, Haitao Zhao

“…This paper proposes a dynamic power allocation scheme that, under the constraints of transmission power and detection probability, formulates power allocation as an optimization problem aimed at maximizing the system sum rate. …”
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