Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system by Zhongjie LI, Jiyuan XIONG, Wei GAO, Jinying WEI

“…A joint beamforming design scheme for distributed intelligent reflecting surface (IRS) assisted multi-user communication was proposed to solve the reliable communication problem in the downlink of millimeter-wave multi user-multiple input single output (MU-MISO) system in non line of sight scenarios.Considering the power and constant-mode constraints, the active beamforming of the base station and passive beamforming of multiple IRS were modeled as a joint non-convex optimization problem with the objective of user weighting and sum rate maximization.A closed-form fractional programming technique was used to decouple this joint optimization problem into an easily solvable equivalent problem.A non-convex block coordinate descent algorithm was used to alternately optimize the active beamforming and passive beamforming matrices according to the prox-linear rule and the distributed successive convex approximation rule.The convergence proof and complexity analysis of the proposed algorithm were also given.The simulation results demonstrate that the algorithm can converge fast, and can effectively improve the system transmission rate with reduced complexity compared with the two baseline algorithms.…”
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AoI-oriented low-energy-consumption information collection and transmission scheduling mechanism for emergency UAV networks by Yuming ZHANG, Lianming XU, Siyuan YIN, Linrun JIANG, Li WANG, Aiguo FEI

“…To address the information collection and aggregation issue in emergency scenarios characterized by the lack of public infrastructure and unstable satellite signals, an information timeliness-oriented information collection and transmission scheduling mechanism was proposed for emergency unmanned aerial vehicle (UAV) networks where information collection and transmission capabilities were constrained by energy consumption.Considering the age of information (AoI) as the metric and constraint of information timeliness, a stochastics optimization problem was constructed with the objective of minimizing UAV information collection and transmission energy consumption.By resorting to the Lyapunov optimization technique, virtual queues were established to impose information timeliness constraints on queue lengths, and the original problem was decoupled into two sub-problems, information collection and transmission scheduling, with the premise of ensuring system stability.Corresponding heuristic algorithms were proposed for each sub-problem.Simulation results demonstrate that the proposed algorithm outperforms conventional queue scheduling approaches in convergence rates and system energy consumption with guaranteed information timeliness.…”
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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

“…In model predictive control (MPC), a process dynamic model is utilized to make predictions of the value of the objective function and constraints throughout a prediction horizon. In one method of solving this problem, the time required to find the optimal values of the decision variables depends on the time required to perform the arithmetic operations involved in computing the model predictions. …”
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Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance by Zhigang Wu, Chuyue Chen, Danyang Xu, Lin Guan

“…Additionally, a method of directly obtaining the compromise optimal solution is used to transform the multi-objective problem into a single-objective one. …”
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Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning by Xue Feng, Chi Xu, Xi Jin, Changqing Xia, Jing Jiang

“…To address the end-edge computation offloading challenge in the multi-terminal and multi-server environment, this paper proposes an intelligent computation offloading algorithm based on Lyapunov optimization and deep reinforcement learning. We formulate a network computation rate maximization problem while balancing constraints including offloading time, CPU frequency, energy consumption, transmission power, and data queue stability. …”
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Multi-Objective Ore Blending Optimization for Polymetallic Open-Pit Mines Based on Improved Matter-Element Extension Model and NSGA-II by Jun Xiang, Jianhong Chen, Aishu Zhang, Xing Zhao, Shengyuan Zhuo, Shan Yang

“…The NSGA-II algorithm is employed to solve the multi-objective optimization problem, generating a Pareto optimal solution set from which the optimal ore blending scheme is selected using the improved matter-element extension model. …”
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Optimal economic and low‐carbon scheduling in integrated energy system considering multi‐level thermal energy coupling and integrated demand response by Yanjun Jing, Mingming Liang, Haixin Wang, Zihao Yang, Gen Li, Fausto Pedro García Márquez, Junyou Yang, Zhe Chen

“…These problems pose challenges to the complexity of multi‐level thermal energy flow mechanisms and optimal operation results of the IES. …”
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Optimal Allocation of Depots for Electric Bus Charging: Cost Minimization and Power System Impact Mitigation Using Mixed Integer Nonlinear Programming by Sama Elkholy, Mostafa F. Shaaban, Abdelfatah Ali, Tarnim Nos, Ahmed S. A. Awad

“…The optimization problem is formulated as a Mixed Integer Nonlinear Programming (MINLP) model and solved using the General Algebraic Modeling System (GAMS). …”
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Cooperative Low-Carbon Trajectory Planning of Multi-Arrival Aircraft for Continuous Descent Operation by Cun Feng, Chao Wang, Hanlu Chen, Chenyang Xu, Jinpeng Wang

“…A Mixed Integer Programming (MIP) model is constructed for the 4D trajectory planning of multiple aircraft, aiming to maximize the efficiency of arrival traffic flow while considering conflict constraints. The complex constrained MIP problem is transformed into an unconstrained problem using a penalty function method. …”
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Max–Min Secrecy Rate and Secrecy Energy Efficiency Optimization for RIS-Aided VLC Systems: RSMA Versus NOMA by Omar Maraqa, Sylvester Aboagye, Majid H. Khoshafa, Telex M. N. Ngatched

“…Moreover, the increased degree of freedom and flexibility from the joint consideration of power control, RIS association and element orientation results in a large set of decision variables and constraints, which further complicates the optimization problem. …”
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Screening for a Reweighted Penalized Conditional Gradient Method by Sun, Yifan, Bach, Francis

“…The conditional gradient method (CGM) is widely used in large-scale sparse convex optimization, having a low per iteration computational cost for structured sparse regularizers and a greedy approach for collecting nonzeros. …”
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Containing an epidemic in the case of running out of treatment: A switched system approach by Shraddha Salwahan, Syed Abbas, Abdessamad Tridane

“…We study a control problem that minimizes the total outbreak size of the epidemic and optimizes the rate of vaccination/isolation control by minimizing the suitable functional subject to resource constraints. …”
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A multi-task genetic programming approach for online multi-objective container placement in heterogeneous cluster by Ruochen Liu, Haoyuan Lv, Ping Yang, Rongfang Wang

“…MOCP-MTGP can automatically generate multiple groups of allocation rules from historical workload patterns and different cluster states, and capture the similarities between all online tasks to guide the transfer of general knowledge during optimization. Comprehensive experiments show that the proposed algorithm can improve the resource utilization of clusters, reduce the number of physical machines, and effectively meet resource constraints and high availability requirements.…”
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AIRCRAFT POWER SUPPLY SYSTEM DESIGN PROCESS AS AN AUTOMATION OBJECT by B. V. Zhmurov

“…The only way to consciously approach the problem of designing EPS aircraft and take into account all the requirements of the customer and the regulatory and technical documentation is its automation.Automation of the design of EPS aircraft as an optimization task involves the formalization of the object of optimization, as well as the choice of the criterion of efficiency and control actions. …”
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A Bi-level Stochastic-Robust Optimal Bidding Model of Wind-Storage System in Spot Markets Considering Internal and External Uncertainties by Haowen Xu, Minglei Bao, Xun Yao, Xiaocong Sun, Yi Ding, Zhenglin Yang

“…The proposed model is structured as a bi-level optimization problem to reflect the interaction between WSS bidding and day-ahead market clearing. …”
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Enhancing Smoothness via Redundancy in 3D Laser Cutting Manufacturing: A Collision-Free, Minimized Jerk Trajectory Optimization Approach by Zhipeng Ding, Marina Indri, Alessandro Rizzo

“…A B-spline-based analytical model formulates rotational axes trajectories as quadratic programming problems to minimize jerk (the rate of acceleration change) under machining accuracy and kinematic constraints. …”
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Presentating a multi-objective optimization model for resource-constrained project scheduling regarding financial costs, time delays and the reliability function by Saeideh Naderi, Mohsen Vaez-Ghasemi, Farzad Movahedi Sobhani

“…For solving low-dimension problems, the exact (epsilon) constraint multi-objective optimization method was used in the Lingo software. …”
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A new tree-based data aggregation method in the wireless sensor networks using Ant Colony Optimization and Cuckoo search algorithms by Shuling Yin, Jiahai Tu, Xiaoyan Chen

“…This paper introduces a new tree-based data aggregation technique, TDAC, which utilizes two popular metaheuristic algorithms, Ant Colony Optimization (ACO) and Cuckoo Search (CS), to deal with the NP-hardness of the data aggregation problem. …”
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Fat-free noncontrast whole-heart cardiovascular magnetic resonance imaging with fast and power-optimized off-resonant water-excitation pulses by Adèle L.C. Mackowiak, Davide Piccini, Ruud B. van Heeswijk, Roger Hullin, Christoph Gräni, Jessica A.M. Bastiaansen

“…LIBOR is an excellent candidate to address SAR problems encountered in CMR sequences where fat suppression remains challenging and short RF pulses are required.…”
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Enhancing resilience of distribution system under extreme weather: Two-stage energy storage system configuration strategy based on robust optimization by Ye He, Hongyun Fu, Andrew Y. Wu, Hongbin Wu, Ming Ding

“…Finally, a two-stage robust optimization model for the ESS is established to improve DN resilience with the objective of minimizing the comprehensive economic cost of the ESS and the annual comprehensive weighted load loss, which is solved using the column-and-constraint generation algorithm (C&CG). …”
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