Mechanical response of grading loading and unloading of backfill sand under confinement constraint by WANG Dongdong, LI Shunqun, WANG Lixiang

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Métodos de geração de colunas para problemas de atribuição Column generation methods for assignment problems by Edson Luiz França Senne, Luiz Antonio Nogueira Lorena, Silvely Nogueira de Almeida Salomão

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A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling by Xuehui Mei, Pengrui Zhang, Haijun Jiang, Zhiyong Yu

“…Two prescribed-time acceleration algorithms are constructed by introducing time rescaling, and the acceleration algorithms are used to solve unconstrained optimization problems and optimization problems containing equation constraints. …”
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Optional and mandatory assignment strategies for dynamic vehicle routing with time windows by Mustafa Demirbilek

“…The Dynamic Vehicle Routing Problem (DVRP) extends the classical Vehicle Routing Problem (VRP) by incorporating real-time updates, requiring continuous adjustments to routing plans. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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An Analysis Dictionary Learning Algorithm under a Noisy Data Model with Orthogonality Constraint by Ye Zhang, Tenglong Yu, Wenwu Wang

“…Here we propose a novel optimization model and an iterative algorithm to learn the analysis dictionary, where we directly employ the observed data to compute the approximate analysis sparse representation of the original signals (leading to a fast optimization procedure) and enforce an orthogonality constraint on the optimization criterion to avoid the trivial solutions. …”
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New Results on Robust Model Predictive Control for Time-Delay Systems with Input Constraints by Qing Lu, Yiyong Sun, Qi Zhou, Zhiguang Feng

“…This paper investigates the problem of model predictive control for a class of nonlinear systems subject to state delays and input constraints. …”
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Cooperative Passenger Inflow Control in Urban Mass Transit Network with Constraint on Capacity of Station by Jianyuan Guo, Limin Jia, Yong Qin, Huijuan Zhou

“…Particle swarm optimization for constrained optimization problem is used to find the optimal solution. …”
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Near Optimum Power Control and Precoding under Fairness Constraints in Network MIMO Systems by Gábor Fodor, Mikael Johansson, Pablo Soldati

“…We formulate two versions of the SINR target and power allocation problem: one for maximizing the sum rate subject to power constraints, and one for minimizing the total power needed to meet a sum-rate target. …”
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Convergence Analysis of the Approximation Problems for Solving Stochastic Vector Variational Inequality Problems by Meiju Luo, Kun Zhang

“…In addition, for the given approximation problems, we prove the convergence results of global optimal solutions and the convergence results of stationary points, respectively. …”
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A Two-Stage Planning Method for Rural Photovoltaic Inspection Path Planning Based on the Crested Porcupine Algorithm by Xinyu He, Xiaohui Yang, Shaoyang Chen, Zihao Wu, Xianglin Kuang, Qi Zhou

“…Subsequently, the CPO algorithm is used to calculate obstacle-avoidance paths, replacing the Euclidean distance in the traditional Traveling Salesman Problem (TSP) with adaptive rural road constraint conditions to better cope with the geographical complexity in real-world scenarios. …”
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An Accelerated Proximal Gradient Algorithm for Singly Linearly Constrained Quadratic Programs with Box Constraints by Congying Han, Mingqiang Li, Tong Zhao, Tiande Guo

“…Recently, the existed proximal gradient algorithms had been used to solve non-smooth convex optimization problems. As a special nonsmooth convex problem, the singly linearly constrained quadratic programs with box constraints appear in a wide range of applications. …”
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Cooperative Path Planning for Multi-UAVs with Time-Varying Communication and Energy Consumption Constraints by Jia Guo, Minggang Gan, Kang Hu

“…In the field of Unmanned Aerial Vehicle (UAV) path planning, designing efficient, safe, and feasible trajectories in complex, dynamic environments poses substantial challenges. Traditional optimization methods often struggle to address the multidimensional nature of these problems, particularly when considering constraints like obstacle avoidance, energy efficiency, and real-time responsiveness. …”
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RECONFIGURATION OF THE AIRCRAFT INTEGRATED CONTROL SYSTEM REGARDING CONTROL CONSTRAINTS UNDER ACTUATOR FAILURES by A. M. Kulchak, V. V. Kosyanchuk, E. Yu. Zybin

“…It is shown that the pseudoinverse reconfiguration problem solution leads to the significant ailerons’ constraints violation and the loss of aircraft controllability. …”
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A Scaled Conjugate Gradient Method for Solving Monotone Nonlinear Equations with Convex Constraints by Sheng Wang, Hongbo Guan

“…Based on the Scaled conjugate gradient (SCALCG) method presented by Andrei (2007) and the projection method presented by Solodov and Svaiter, we propose a SCALCG method for solving monotone nonlinear equations with convex constraints. SCALCG method can be regarded as a combination of conjugate gradient method and Newton-type method for solving unconstrained optimization problems. …”
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Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning by Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert van Nieuwenburg

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Framework for investigating structure cracking using real engineering data combined with physics constraints by Han Si, Qidi Wang, Xin Ruan, Xingpo Fang

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A Combined Diffusion Model and Reinforcement Learning Approach for Solving the Vehicle Routing Problem With Multiple Soft Time Windows by Yu Qiao, Jianjun Miao, Xiaoying Huang

“…The Vehicle Routing Problem with Multiple Soft Time Windows (VRPMSTW) is a challenging combinatorial optimization problem where a fleet of vehicles must deliver goods to a set of customers, adhering to time windows while minimizing costs. …”
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The Extension of Auxiliary Problem Principle for Solving Dynamic Economic Dispatch Problem in Power Systems by Yaming Ren

“…In this paper, we study the convex optimization problem with linear constraint, and the objective function is composed of m separable convex functions. …”
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Solving Multiple Fuels Dynamic Environmental/Economic Dispatch Problem and Incentive Based Demand Response Considering Spinning Reserve Requirements by F. Mohammadi, H. Abdi, E. Dehnavi

“…The proposed integrated model is a multi-objective optimization problem which aims to minimize both the fuel costs and emission and determine the optimal incentive of EDRP under some of practical constraint of units such as valve-point loading effect, multiple fuels, prohibited operating zones, and spinning reserve requirements. …”
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