Stealthy graph backdoor attack based on feature trigger by Yang Chen, Zhou Bin, Haixing Zhao

“…This approach effectively removes useless or harmful edges, thereby enhancing the homogeneity of the nodes. Then, BAFT uses optimization constraints to ensure the invisibility of the attack. …”
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Analysis of the Impact of Renewable Energy Sources and Energy Storage Systems on Multi-Stage Transmission Network Expansion Planning by Mario D. Pastrana, Juan Carlos Cortez, Juan Camilo Lopez, Marina Lavorato, Marcos J. Rider

“…Furthermore, the MILP model incorporates active power losses through piecewise linearization and <inline-formula> <tex-math notation="LaTeX">$N-1$ </tex-math></inline-formula> security constraints. A method is developed to reduce the combinatorial search space to deal with high-dimensional problems. …”
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A dynamic service migration strategy based on mobility prediction in edge computing by Lanlan Rui, Shuyun Wang, Zhili Wang, Ao Xiong, Huiyong Liu

“…Furthermore, we build a network model and propose a based on Lyapunov optimization method with long-term cost constraints. …”
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Energy Efficiency Maximization for Device-to-Device Communication Underlaying Cellular Networks on Multiple Bands by Yuan Zhang, Yang Yang, Linglong Dai

“…Then, we formulate the optimization problem of maximizing the EE subject to four constraints regarding to transmission power and outage probabilities, and the non-convexity of this problem is also verified. …”
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Agent Selection Framework for Federated Learning in Resource-Constrained Wireless Networks by Maria Raftopoulou, Jose Mairton B. da Silva, Remco Litjens, H. Vincent Poor, Piet van Mieghem

“…Leveraging this importance metric, we formulate a general agent selection optimization problem, which can be adapted to different environments with latency or resource-oriented constraints. …”
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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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A Scalable Multi-Target Tracking Algorithm for Wireless Sensor Networks by Songhwai Oh

“…The algorithm is based on a rigorous probabilistic model and an approximation scheme for the optimal Bayesian filter. In particular, an extensive simulation study shows that there is no performance loss up to an average localization error of 0.7 times the separation between sensors and the algorithm tolerates up to 50% lost-to-total packet ratio and 90% delayed-to-total packet ratio. …”
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A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing by Muhammad Sardaraz, Muhammad Tahir

“…The problem has been extensively studied in the literature. …”
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Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information by Muhammad Fahad Ijaz, Umar Rashid, Omer Waqar

“…We handle the non-convexity of the resulting problem by utilizing successive convex approximation to specifically reformulate the binary/integer and non-convex constraints of the problem. …”
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Entropy-driven multi agent deep reinforcement learning for resilient distribution networks: coordinating MESS and microgrids by Changchun Cai, Fenglu Gan, Yong Cui, Bo Li, Shixi Hou

“…Subsequently, the coordinated optimization problem is formulated as a Markov Decision Process (MDP). …”
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A Self-Adaptive Improved Slime Mold Algorithm for Multi-UAV Path Planning by Yuelin Ma, Zeren Zhang, Meng Yao, Guoliang Fan

“…These conditions transform multi-UAV path planning into a complex optimization problem with multiple constraints, significantly reducing the number of feasible solutions and complicating the generation of optimal flight trajectories. …”
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NAVA: A Network-Adaptive View-Aware Volumetric Video Streaming Framework by Nguyen Long Quang, Truong Thu Huong, Duc Nguyen

“…In our framework, multiple versions with different quality of individual volumetric video are prepared and stored on the server in advance. The rate allocation problem is formulated as a optimization problem by taking into account the visible area of individual sequences as well as the network constraint. …”
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Improving Secrecy Capacity in the Face of Eavesdropping in SWIPT CIoT Networks With Actor-Critic DRL by Nada Abdel Khalek, Walaa Hamouda

“…We formulate the challenging non-convex optimization problem to maximize secrecy capacity while ensuring spectrum sharing and energy constraints and model the CIoT agent&#x2019;s decision-making as a model-free Markov decision process (MDP). …”
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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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Time-Dependent Vehicle Routing of Free Pickup and Delivery Service in Flight Ticket Sales Companies Based on Carbon Emissions by Jingmei Guo, Chao Liu

“…The time-dependent pollution-routing problem of free pickup and delivery of passengers to the airport service (TDFPDS) is an extension of the time-dependent pollution-routing problems, arising in flight ticket sales companies for the service of free pickup and delivery of airline passengers to the airport. …”
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Clustering-based energy-aware virtual network embedding by Xu Liu, Zhongbao Zhang, Junning Li, Sen Su

“…In this article, to bridge this gap, we design a heuristic energy-aware virtual network embedding algorithm called EA-VNE-C, to coordinate the dynamic electricity price and energy consumption to further optimize the energy cost. Extensive simulations demonstrate that this algorithm significantly reduces the energy cost by up to 14% over the state-of-the-art algorithm while maintaining similar revenue.…”
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An Adversarial Attack via Penalty Method by Jiyuan Sun, Haibo Yu, Jianjun Zhao

“…To solve the optimization problem for generating adversarial examples, the latter approach incorporates a misclassifying constraint into the objective using a Lagrangian multiplier or penalty parameter, usually determined by binary search. …”
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Integrated transportation system planning with gravitational search algorithm approach based on fuzzy mutant controller by Alireza Hosseinzadeh Kashani, Seyed Ahmad Shayannia, Mohammad Mehdi Movahedi, Soheila Sardar

“…Considering these three constraints simultaneously brings the problem closer to reality.…”
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Physics-Informed Neural Network-Based Input Shaping for Vibration Suppression of Flexible Single-Link Robots by Tingfeng Li, Tengfei Xiao

“…This paper presents a novel physics-informed neural network (PINN)-based input-shaping method for the vibration suppression problem. Through a two-phase training process of a neural network based on a loss function that follows both the physical model constraints and the vibration modal conditions, we identify optimal input-shaping parameters to minimize residual vibration. …”
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Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding by Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI

“…This method frames the radar task collaborative scheduling problem as a heterogeneous network graph, leveraging model knowledge to optimize the training process of the Graph Neural Network (GNN) algorithm. …”
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