A DMPC-based three-dimensional cooperative guidance scheme with impact time and impact angle constraints by Zijie Jiang, Xiuxia Yang, Cong Wang, Yi Zhang, Hao Yu

“…By applying the above designed constraints and the terminal ingredients, the recursive feasibility of the resulting optimization problem and the closed-loop stability of multi-interceptor system are both ensured. …”
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Unit combination model considering the grid-forming control parameters of new energy station by Hui HUANG, Haoyin DING, Zhaohui QIE, Haijun CHANG, Zhiguang HUANG, Rui LYU

“…Then，the nonlinear mixed integer programming model is transformed into a multi-objective two-layer optimization problem for iterative solution. Thus，the optimal start-up mode of synchronous generators，the optimal reduction of new energy and the corresponding control parameters are obtained which meet the system frequency constraints. …”
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A Metaheuristic Algorithm to Transporter Scheduling for Assembly Blocks in a Shipyard considering Precedence and Cooperating Constraints by Ning-Rong Tao, Zu-Hua Jiang, Jian-Feng Liu, Bei-Xin Xia, Bai-He Li

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A Weighted Low-Rank and Sparse Constraint-Based Multichannel Radar Forward-Looking Imaging Method by Junkui Tang, Lei Ran, Zheng Liu, Rong Xie, Yan Liu, Genquan Han

“…Then, in solving the optimization problem, the alternating direction method of multipliers (ADMM) is employed to decompose variables and reduce the complexity of the solution. …”
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Non‐local low‐rank constraint‐based self‐consistent PMRI reconstruction using eigenvector maps by Jizhong Duan, Ting Pan, Yu Liu, Junfeng Wang

“…The resulting optimisation problem can be transformed into a gradient problem and a denoising problem with low‐rank constraints using the operator splitting technique. …”
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V2Coder: A Non-Autoregressive Vocoder Based on Hierarchical Variational Autoencoders by Takato Fujimoto, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

“…Additionally, VAEs suffer from low-quality samples generated using prior distribution due to the prior hole problem. To improve the sample quality, we impose a constraint on latent information in each layer of the hierarchical VAE and demonstrate that this constrained optimization significantly affects the sample quality. …”
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Insensitive Mechanism-Based Nonlinear Model Predictive Guidance for UAVs Intercepting Maneuvering Targets with Input Constraints by Danpeng Huang, Mingjie Zhang, Taideng Zhan, Jianjun Ma

“…Thirdly, the UAV’s interception task is formulated into a comprehensive Quadratic Programming (QP) problem, and the NMPC-IM guidance strategy is presented, which is then improved by the adjustment of parameters and determination of maximum input. …”
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Alleviating the quantum Big-M problem by Edoardo Alessandroni, Sergi Ramos-Calderer, Ingo Roth, Emiliano Traversi, Leandro Aolita

“…Abstract A major obstacle for quantum optimizers is the reformulation of constraints as a quadratic unconstrained binary optimization (QUBO). …”
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An Entropic Approach to Constrained Linear Regression by Argimiro Arratia, Henryk Gzyl

“…We introduce a novel entropy minimization approach for the solution of constrained linear regression problems. Rather than minimizing the quadratic error, our method minimizes the Fermi–Dirac entropy, with the problem data incorporated as constraints. …”
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Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices by Mudassar Liaq, Waleed Ejaz

“…We also incorporate an IoT device importance and selection scheme to further improve system performance. We formulate an optimization problem to minimize system delay, considering UAV-MEC’s computation power, computation and communication power of IoT devices, and quality of service constraints. …”
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Optimal Midcourse Guidance with Terminal Relaxation and Range Convex Optimization by Jiong Li, Jinlin Zhang, Jikun Ye, Lei Shao, Xiangwei Bu

“…The study first derived a range-domain dynamics model with the angle of attack and bank angle as dual control inputs, augmented with path constraints including heat flux limitations, to formulate the midcourse guidance optimization problem. …”
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An Improved Ant Colony Optimization Approach for Optimization of Process Planning by JinFeng Wang, XiaoLiang Fan, Haimin Ding

“…In this paper, process planning problem is described based on a weighted graph, and an ant colony optimization (ACO) approach is improved to deal with it effectively. …”
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A Novel Traffic Analysis Zone Division Methodology Based on Individual Travel Data by Kai Du, Jingni Song, Dan Chen, Ming Li, Yadi Zhu

“…Travel characteristic data are then extracted for spatial grid units. The TAZ division problem is defined as a multiobjective optimization problem, including factors such as travel similarity, the homogeneity of travel intensity, the statistical accuracy of the area, geographic information preservation, travel ratio constraints, and shape constraints. …”
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Accelerator pool: accelerator sharing architecture for energy efficiency by Shogo Saito, Ko Natori, Ikuo Otani, Kei Fujimoto

“…Our contributions include: (1) a novel pooling architecture for resource-intensive applications (virtual Radio Access Network (vRAN), generative Artificial Intelligence (AI), automated driving) that reduces power consumption while maintaining performance, (2) a comprehensive evaluation of the architecture’s practicality for vRAN use cases with identified implementation challenges and mitigation strategies, (3) a mathematical model formulating the accelerator allocation problem as a bin-packing optimization, and (4) empirical validation through comparative simulations. …”
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A Make-to-Order Capacitated Lot-Sizing Model with Parallel Machines, Eligibility Constraints, Extra Shifts, and Backorders by Felipe T. Muñoz, Juan Ulloa-Navarro

“…This study addresses the multi-period, multi-item, single-stage capacitated lot sizing problem (CLSP) in a parallel machine environment with machine eligibility constraints under a make-to-order production policy. …”
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SC-GROG followed by L+S reconstruction with multiple sparsity constraints for accelerated Golden-angle-radial DCE-MRI. by Faisal Najeeb, Kashif Amjad, Irfan Ullah, Hammad Omer

“…Monotone FISTA with variable acceleration (MFISTA-VA) is used to optimize the L+S optimization problem. Further, SC-GROG gridding is used to map Golden-angle radial data to Cartesian grid before L+S reconstruction. …”
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The Closed-Loop Supply Chain Network Equilibrium with Products Lifetime and Carbon Emission Constraints in Multiperiod Planning Horizon by Guitao Zhang, Hao Sun, Jinsong Hu, Gengxin Dai

“…This paper studies a closed-loop supply chain network equilibrium problem in multiperiod planning horizons with consideration of product lifetime and carbon emission constraints. …”
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SDN-Enabled Resource Orchestration for Industrial IoT in Collaborative Edge-Cloud Networks by Jude Okwuibe, Juuso Haavisto, Ivana Kovacevic, Erkki Harjula, Ijaz Ahmad, Johirul Islam, Mika Ylianttila

“…The proposed approach models resource allocation as a <italic>Constraint Satisfaction Problem</italic> (CSP) where optimality is based on the solution of a predefined <italic>Satisfiability</italic> (SAT) problem. …”
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Optimal Trajectory Optimization of 7R Robot for Space Maintenance Operation by Qidong Li, Hehua Ju, Pengfei Xiao, Feifei Chen, Fei Lin

“…The simulation results show that, compared with several classic optimization algorithms, the proposed hybrid optimization algorithm can obtain a better maintenance trajectory of the space robots under the constraints, which solves the low efficiency and poor stability of the space robots on-orbit maintenance problem.…”
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Interpretable Optimization: Why and How We Should Explain Optimization Models by Sara Lumbreras, Pedro Ciller

“…To address these challenges, we propose a framework for interpretable optimization built on three key pillars. First, simplification and surrogate modeling reduce problem complexity while preserving decision-relevant structures, allowing stakeholders to engage with more intuitive representations of optimization models. …”
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