An Extended Model for Disaster Relief Operations Used on the Hagibis Typhoon Case in Japan by Darya Hrydziushka, Urooj Pasha, Arild Hoff

“…This paper presents a generalization of a previously defined lexicographical dynamic flow model based on multi-objective optimization for solving the multi-commodity aid distribution problem in the aftermath of a catastrophe. …”
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A Method for Designing Fault Diagnosis Filters for LPV Polytopic Systems by Sylvain Grenaille, David Henry, Ali Zolghadri

“…The design problem is formulated as a convex optimization problem and solved using LMI (Linear Matrix Inequalities) techniques. …”
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Fast Algorithm for Cyber-Attack Estimation and Attack Path Extraction Using Attack Graphs with AND/OR Nodes by Eugene Levner, Dmitry Tsadikovich

“…Determining an attacker’s possible attack path is critical to cyber defenders as it helps identify threats, harden the network, and thwart attacker’s intentions. We formulate this problem as a path-finding optimization problem with logical constraints represented by AND and OR nodes. …”
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Model Predictive Control With Reinforcement Learning-Based Speed Profile Generation in Racing Simulator by Min-Seong Kim, Tae-Hyoung Park

“…Model Predictive Control (MPC) is a widely used optimal control strategy, particularly effective in managing complex constraints. …”
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Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters by Xunzhi Zhu, Jinchuan Zhou, Lili Pan, Wenling Zhao

“…For nonconvex optimization problem with both equality and inequality constraints, we introduce a new augmented Lagrangian function and propose the corresponding multiplier algorithm. …”
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Active Vibration Distribution through Restricted Topology and Single Node Control by Jiqiang Wang

“…Active vibration distribution control represents a generic yet challenging problem to be addressed in many engineering applications. …”
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Gossiping with interference in radio ring networks by Jean-Claude Bermond, Takako Kodate, Joseph Yu

“…In this paper, we study the problem of gossiping with interference constraint in radio ring networks. …”
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Rate-Maximized Zero-Forcing Beamforming for VLC Multiuser MISO Downlinks by Hong Shen, Yuqin Deng, Wei Xu, Chunming Zhao

“…To handle this challenging problem, we first employ the powerful concave–convex procedure to develop an iterative algorithm that converges to a locally optimal solution. …”
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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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Dispatch Instruction Disaggregation for Virtual Power Plants Using Multi-Parametric Programming by Zhikai Zhang, Yanfang Wei

“…However, existing methods for VPP dispatch instruction disaggregation often require solving complex optimization problems for each instruction, posing challenges for real-time applications. …”
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THE USE OF PARABOLIC SPLINEES IN CAD OF LINEAR STRUCTURES by V. I. Struchenkov

“…In addition, the lengths of the spline elements must be at least the given values. The problem is solved in two stages. First, the number of elements is determined, and then their parameters are optimized. …”
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Two-stage iterative data transmission scheduling algorithm for satellite Internet integrating communication and remote sensing by LI Hai, LI Yongjun, ZHANG Taijiang, LI Yu, ZHAO Shanghong, WANG Jie, HAN Yue

“…Aiming at the data transmission scheduling problem in the satellite Internet integrating communication and remote sensing (SatInternet-CR), a mathematical model with the goal of maximizing data transmission profits was established subject to constraints including data transmission windows and satellite energy consumption. …”
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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…Within the Minorization-Maximization (MM) framework, an iterative process is designed to solve the RSSPCA optimization problem, ensuring that a locally optimal solution is achieved. …”
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New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

“…To this end, it is necessary to model the total training time minimization problem, optimize the quantization series and bandwidth allocation, and design an alternate optimization algorithm to solve this problem. 2. …”
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Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage by Tingli Cheng, Minyou Chen, Yingxiang Wang, Bo Li, Muhammad Arshad Shehzad Hassan, Tao Chen, Ruilin Xu

“…In association with the development of intermittent renewable energy generation (REG), dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage (ES) is formulated and solved based on a robust multiobjective optimization method. …”
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Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach by Jinkui Li, Huahui Li

“…The main objective of this study is to minimize the considered objective function (OF). Several constraints are also considered in this optimization problem, which should be met by the proposed method. …”
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Noise-Based Frequency Spectrum Correction Method Using Interior Point Approach by Guichun Yang, Shengyou Zhou, Han Chen, Huiyue Yang, Weixing Hua, Zhaojie Wu, Yan Chen

“…This study innovatively formulates the correction process as a bounded optimization problem and incorporates an L1-norm sparse penalty term into the interior point (IP) framework to enhance robustness against noise. …”
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Long-Term Secrecy Throughput and Fairness Tradeoff for Wireless Powered Secure IoT Networks by Lei Zheng, Xiaolong Lan, Juanjuan Ren, Yong Liu, Qingchun Chen

“…To achieve it, a multi-objective stochastic optimization problem is formulated to simultaneously maximize long-term averaged secrecy sum-rate and minimum rate (min-rate) of devices, subject to devices’ energy sustainability and AP’s energy budget constraints, where energy beamforming, power allocation, and time scheduling policies are jointly optimized. …”
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