Entry Guidance for Hypersonic Glide Vehicles via Two-Phase hp-Adaptive Sequential Convex Programming by Xu Liu, Xiang Li, Houjun Zhang, Hao Huang, Yonghui Wu

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Abordagem adaptativa aplicada ao planejamento agregado da produção sob incertezas Adaptive approach applied to aggregate production planning under uncertainties by Oscar Salviano Silva Filho, Wagner Cezarino

“…Por fim, os resultados obtidos são comparados com outra abordagem subótima, cuja principal característica é não permitir revisões periódicas.<br>A problem of aggregate production planning, with uncertainty about the fluctuation in demand, is formulated by a stochastic optimization model, with quadratic criterion and linear constraints. …”
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Renewable Energy Capacity Assessment in Power System Based on Linearized OPF by Yu DONG, Cun DONG, Ruoying YU, Jie DING

“…Considering the nonlinear characteristic of power system power flow, a linearization method was established to solve the problem that the traditional high-order nonconvex OPF model is difficult to obtain the global optimal solution. …”
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Trade-off between computation time and solution quality for integrated generation and transmission expansion planning with N-1 security criterion by Lucas Y. Okamura, Carmen L.T. Borges, Gianfranco Chicco

“…For the same proposed method, the preliminary calculation of an optimal solution without applying the N-1 security constraint as a starting point, followed by re-optimization with active N-1 security constraints, contributes to a 65 % reduction of the computation time without significantly impacting the quality of the solution.…”
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A novel user-centric happiness model for personalized tour recommendations by Mohammed Alatiyyah

“…The model integrates the Item Constraints Data Model (ICDM) to reduce data dimensionality and search space. …”
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Spatial Linear Coding in Joint Radar and Multicast Communication Systems by D. V. Shtarev, E. A. Mavrychev

“…A limitation on the radiated power of individual antenna channels was used for both cases. Optimization problems were approximately reduced to convex problems with semidefinite constraints, which could be solved using the wellknown interior point algorithm with polynomial complexity. …”
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A low-carbon scheduling method based on improved ant colony algorithm for underground electric transportation vehicles by Yizhe Zhang, Yinan Guo, Yao Huang, Shirong Ge

“…A specific energy consumption model for ETVs is formulated, considering factors such as road conditions, load, and driving state. To solve this problem, an improved ant colony optimization algorithm integrated with Q-learning (ACO-QL) is proposed. …”
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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty by Yuan Ma, Yongping Li, Guohe Huang, Yuanrui Liu, Yufei Zhang

“…In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. …”
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Hedging na produção de açúcar e álcool: uma integração de decisões financeiras e de produção Hedging in the ethanol and sugar production: integrating financial and production decis... by Anna Andrea Kajdacsy Balla Sosnoski, Celma de Oliveira Ribeiro

“…This paper examines the problem of creating hedging strategies with production constraints and proposes a deterministic multi-period optimization model to solve it. …”
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Bridging ACO-Based Drone Logistics and Computing Continuum for Enhanced Smart City Applications by Salvatore Rosario Bassolillo, Egidio D’Amato, Immacolata Notaro, Luca D’Agati, Giovanni Merlino, Giuseppe Tricomi

“…The proposed system addresses the Capacitated Vehicle Routing Problem (CVRP) by considering both drone capacity constraints and autonomy, using the ACO-based algorithm to efficiently assign delivery destinations while minimizing travel distances. …”
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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…We introduce a novel method that reframes trajectory planning as an optimal puncture site identification problem by leveraging optical principles and computer rendering. …”
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Attention-Based Multi-Objective Control for Morphing Aircraft by Qien Fu, Changyin Sun

“…Furthermore, a multi-phase pseudospectral method is derived to discretize the auxiliary problem and formulate the corresponding nonlinear programming problem, where open loop optimal solutions of the multi-task flight mission are generated. …”
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Using Statistical Estimates in the Game with Nature as an Investment Model by V. A. Gorelik, T. V. Zolotova

“…Analytical methods for solving the indicated optimization problem and an algorithm for finding optimal mixed strategies are obtained. …”
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Unified Models and MILP-Based Scheduling Method for Home DC Microgrids: A Novel Approach to Overloading by Je-Heon Kang, Hye-Gyu Lee, Pyeong-Ik Hwang

“…The scheduling problem in which to implement these strategies is formulated as a mixed-integer nonlinear programming (MINLP) problem, for which finding optimal solutions can be challenging. …”
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Otimização conjunta de gráficos de X-barra - S ou X-barra - R: um procedimento de fácil implementação Joint optimization of X-bar - S or X-bar - R charts: an easily implemented pro... by Eugenio K. Epprecht, Adriana Leiras

“…<br>A model is developed for optimum choice of the operation parameters for X-bar - R (or X-bar - S) charts, which minimizes the ratio of sampling costs to detection speed of shifts in the process mean or increases in the process dispersion. Three alternative problem formulations are allowed: minimization of the average time to signal subject to a sampling cost constraint; minimization of the sampling cost subject to a constraint on the average times to signal; and multi-objective optimization of both the average time to signal and the sampling cost. …”
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AoI-enabled multi-node cooperative sensing based on integration of sensing, communication, and computing in vehicular networks by Yiqing ZHOU, Haoyue ZHANG, Yanli QI, Qing CAI, Ling LIU, Jiangzhou WANG

“…For the requirements of real-time services in autonomous driving systems, such as high-definition (HD) maps, based on the integration of sensing, communication, and computing, a multi-node cooperative sensing mechanism was proposed with the age of information (AoI) as the real-time indicator.Considering the constraints on communication and computing resources and vehicle energy consumption, the information collection, transmission and processing of sensing nodes were optimally scheduled to minimize the AoI averaged over time.A Lyapunov-based online scheduling algorithm was proposed to transform the long-term stochastic optimization problem into an online optimization problem, which could be solved with low complexity.Compared with the existing mechanism considering integrated communication and computing, the proposed mechanism can improve real-time performance by 9%～50%.…”
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Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention by Jia Wu, Jinzhao Lin, Xiaoming Jiang, Wei Zheng, Lisha Zhong, Yu Pang, Hongying Meng, Zhangyong Li

“…First, we establish a residual regularization strategy that applies constraints on the difference between the prior image and target image, effectively integrating deep learning-based priors with model-based optimization. …”
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Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems by Badr Al Faiya, Ghareeb Moustafa, Hashim Alnami, Ahmed R. Ginidi, Abdullah M. Shaheen

“…Also, the study is extended to address the dynamic ED problem, incorporating a 24 h load demand profile and ramp-rate constraints for power generation units. …”
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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Due to the complexity introduced by discrete constraints, we decompose the original problem into three sub-problems to reduce computational burden. …”
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The unpaired operation of urban rail transit by TIAN Peining, MAO Baohua, ZHOU Qi, HUANG Junsheng, ZHANG Haoxiang, GAO Qiqi

“…In order to solve the problem of waste of transport resources on tidal lines of urban rail transit due to uneven passenger flow, during the transition from morning peak to afternoon peak and from afternoon peak to evening peak, the unpaired operation method using the existing parking lines to store cars is proposed. …”
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