The analysis of deep reinforcement learning for dynamic graphical games under artificial intelligence by Yuyang Yan, Jiahui Li, Cristina Zaggia

“…The findings show that the DRL-based online iterative algorithm significantly improves decision accuracy and convergence speed, reduces computational complexity, and demonstrates strong performance and scalability in addressing optimal control problems in dynamic graphical intelligent games.…”
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Random Volumetric MRI Trajectories via Genetic Algorithms by Andrew Thomas Curtis, Christopher Kumar Anand

“…Previously, it was shown that second-order cone optimization problems can be defined for each arc independent of the others, that nulling of zeroth and higher moments can be encoded as constraints, and that individual arcs can be optimized in seconds. …”
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Mechanistic Insights into Fish Spoilage and Integrated Preservation Technologies by Xuanbo Wang, Zhaozhu Zheng

“…By comparing efficacy metrics, practical constraints, and emerging innovations, our mechanism-driven roadmap clearly defines the problems we address and offers actionable guidance for developing more effective and sustainable fish preservation strategies.…”
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FLEET ASSIGNMENT MODELLING by L. V. Pavlova

“…The main part of scheduling process is fleet assignment. The optimal solution of the fleet assignment problem enables airlines to increase their incomes up to 3 % due to quality improving of connections and execution of the planned number of flights operated by less number of aircraft than usual or planned earlier. …”
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Partial Disassembly and Consideration of Part Relationships in Multiproduct, Multiperiod Capacitated Disassembly Scheduling With Parts Commonality by Sajed Zare, Mohammad Bagher Fakhrzad, Hassan Khademi Zare, Hasan Hosseini-Nasab

“…By incorporating these relationships into the disassembly scheduling problem, our proposed model offers a more comprehensive and efficient solution. …”
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Quadrotor Trajectory Planning with Tetrahedron Partitions and B-Splines in Unknown and Dynamic Environments by Jiayu Men, Jesús Requena Carrión

“…The initial safe flight corridor provides a sequence of control points that we use to optimize clamped B-spline trajectories by formulating a quadratic programming problem with safety and smoothness constraints. …”
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Perceptions of a comprehensive telehealth intervention in patients with persistently poor type 2 diabetes control by Jashalynn German, Madeleine R. Eldridge, Lucy Esteve, Anastasia-Stefania Alexopoulos, Connor Drake, Allison Lewinski, Hayden B. Bosworth, David Edelman, Karen Steinhauser, Matthew J. Crowley

“…For the self-management component, patients saw staff as helpful with problem-solving; staff felt patients were receptive to education. …”
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A numerical analysis of heat and mass transfer in water-based hybrid nanofluid flow containing copper and alumina nanoparticles over an extending sheet by Yasmin Humaira, Bossly Rawan, Alduais Fuad S., Al-Bossly Afrah, Saeed Anwar

“…The drag force has also seen a maximum growth of 32% against a surge in a micro-gyration constraint. This idea validates that the use of hybrid nanofluids over traditional nanofluids offers enhanced friction forces and heat transfer rates that provide insights into the optimization of fluid flow systems in engineering applications. …”
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Secure resource allocation in hybrid energy-harvesting relay and full-duplex receiver by Wei WANG, Xinrui LI, Liuguo YIN, Guoan ZHANG, Shibing ZHANG

“…Taking into account the wireless physical layer security in energy-constrained relaying systems,a secure resource allocation scheme was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.The utility optimization problem was considered aiming to maximize the secrecy rate by jointly optimizing the power splitting (PS) ratio and the transmit powers under the constraint of the transmit powers of the nodes and the harvested energy of the relay.The objective problem,which is non-convex,was decoupled into two subproblems.One was to optimize the PS ratio,another was to optimize the transmit powers.The optimal solution of the subproblems can be obtained in the closed-form.Then,the suboptimal solution is obtained with the proposed convergent iterative algorithm.Simulation results show the effects of artificial noise signal,residual self-interference signal,transmit power of nodes,amplification factor of relay and other factors on the security performance.Compared with the traditional gradient descent algorithm,the proposed algorithm can reduce more than 80% of the computational load,while the algorithm has the slightly better performance.…”
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Deployment cost minimization for composite event detection in large-scale heterogeneous wireless sensor networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…Then, based on the composite event model and the coverage quality model, an exact algorithm and a greedy strategy approximation algorithm are proposed to solve the optimization problem. Also, the time complexity and approximability of these two algorithms are analyzed. …”
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Resource allocation scheme for IRS assisted heterogeneous SWIPT-NOMA system by JI Wei, LIU Ziqing

“…For the passive beamforming optimization sub-problem of IRS phase shift, the sequential rank-one constraint relaxation approach was used to solve it. …”
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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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Multi-objective Flexible Planning of Transmission Network Considering Wind Power and Load Uncertainties by Juanjuan WANG, Tao WANG, Zihan LIU, Hainan ZHU, Fengshuo LI, Huazhong SUN

“…The non-dominated sorting genetic algorithm-II is used to solve the problem, and the Pareto optimal planning scheme set is transmitted to the lower level. …”
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Codesign of Beam Pattern and Sparse Frequency Waveforms for MIMO Radar by Chaoyun Mai, Songtao Lu, Jinping Sun, Guohua Wang

“…With this idea in mind, we first solve the problem of semidefinite constraint by optimization tools and get the desired covariance matrix of the ideal beam pattern. …”
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Fatigue Damage Assessment of a Metro Vehicle Bogie Frame Based on Measured Field Load by Yangmin Wu, Zunsong Ren

“…Additionally, the square of the difference between the damage calculated via the load spectrum and the measured damage was used as the objective function; the calibrated test load spectrum fully covered the fatigued weak position damage as the constraint condition. The load spectrum calibration coefficient was obtained via multi-objective optimization through a genetic algorithm. …”
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GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks by Qianmu Li, Jun Hou, Shunmei Meng, Huaqiu Long

“…The real-time and high-continuity requirements of the edge computing network gain more and more attention because of its active defence problem, that is, a data-driven complex problem. Due to the dual constraints of the hybrid feature of edge computing networks and the uncertainty of new attack features, implementing active defence measures such as detection, evasion, trap, and control is essential for the security protection of edge computing networks with high real-time and continuity requirements. …”
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Hybrid secure beamforming and vehicle selection using hierarchical agglomerative clustering for C-RAN-based vehicle-to-infrastructure communications in vehicular cyber-physical sys... by Dongyang Xu, Pinyi Ren, Qinghe Du, Li Sun

“…A one-dimensional roadway scenario having multiple lanes is considered, and the concept of secure region and interference-selection region is, respectively, developed for each roadside unit. We formulate an optimization problem of maximizing secrecy sumrate with the constraint of orthogonality-based vehicle selection. …”
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New Quality Productive Forces Enable High-Quality Development of Marine Economy: Mechanism, Dilemma and Breakthrough by HE Tao, ZHANG Yuqiang

“…New quality productive forces can enable the high-quality development of marine economy through the promotion mechanism, guidance mechanism, optimization mechanism and guarantee mechanism. However, in the process of empowerment, it is faced with practical difficulties and challenges, such as marine management level constraints, imperfect industrial structure, imbalance between supply and demand of talent research, and prominent ecological problems. …”
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Recent Advances in Multi-Agent Reinforcement Learning for Intelligent Automation and Control of Water Environment Systems by Lei Jia, Yan Pei

“…Multi-agent reinforcement learning (MARL) has demonstrated significant application potential in addressing cooperative control, policy optimization, and task allocation problems in complex systems. …”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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