A two-stage distributionally robust CVaR-constrained framework and its approximations for self-scheduling microgrid by Chen Zhang, Jinbao Jian, Linfeng Yang

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Reliable heuristic mapping method for survivable virtual network by Qiang ZHU, Hui-qiang WANG, Chun-guang MA, Guang-sheng FENG, Hong-wu LV

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Trajectory Tracking in Autonomous Driving Based on Improved hp Adaptive Pseudospectral Method by Yingjie Liu, Qianqian Wang

“…The optimal trajectory control problem with differential constraints was transformed into an algebraic constrained nonlinear programming problem and solved using the sequential quadratic programming and compared with traditional control methods. …”
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Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm by Liyang Ju, Xiaoyuan Wu, Yixi Zhao, Jianfeng Liu, Kun Liu

“…The cabin components are modularized, and an optimization algorithm is designed for multi-objective problem solving to obtain the optimal assembly sequence of cabin components. …”
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Emergency task scheduling algorithm for space-based networks by LI Zheyuan, HE Lijun, JIA Ziye, LI Bokang, WANG Yanting, MIN Minghui

“…Secondly, a new efficient encoding method was proposed to compress the solution space and provide a guarantee for the efficient solution of the problem. Furthermore, a high-efficiency scheduling strategy was proposed by combining global search and local search, that is, integrating the whale optimization algorithm into the framework of the genetic algorithm for local search, which reduces the maximum transmission delay of emergency tasks. …”
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Two-Timescale Cross-Layer Design for URLLC Over Parallel Fading Channels With Imperfect CSI by Hongsen Peng, Meixia Tao

“…Specifically, we formulate a two-timescale total average power minimization problem under reliability, latency, and peak power constraints. …”
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Multi-Objective Scheduling for Green Flexible Assembly Job-Shop System via Multi-Agent Deep Reinforcement Learning With Game Theory by Xiao Wang, Zhongyuan Liang, Peisi Zhong, Dongmin Li, Hongqi Li, Mei Liu

“…For multi-objective optimization into a reward strategy problem, a game model combining Nash equilibrium and Pareto optimality is established to obtain an objective unification solution. …”
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Successful cryopreservation of marine invertebrates immune cells enables long-term studies of common octopus, Octopus vulgaris Cuvier 1797, hemocyte immune functions by María M. Costa, Estefania Paredes, Mercedes Peleteiro, Lucía Sánchez-Ruiloba, Francisco Gambón, Sonia Dios, Camino Gestal

“…Having access to good high-quality cells for long periods allows cover a wider repertoire of studies, time courses, and the avoidance of logistical issues such as loss of viability and/or functionality, time constraints, or sample transport challenges. Additionally, high-quality cell suspensions are essential for successful applications, such as single-cell sequencing, where viability and functionality are the key to optimal identification. …”
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Research on eco-driving strategies for supercapacitor trams by ZHANG Huazhi, FU Chengcheng, XIAO Zhuang, WANG Qingyuan, FENG Xiaoyun, HE Bin

“…Finally, the bi-section method was utilized to find optimized eco-driving speed profiles to satisfied the trip time constraint. …”
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A critical review on phasor measurement units installation planning and application in smart grid environment by Vivekananda Pattanaik, Binaya Kumar Malika, Subhasis Panda, Pravat Kumar Rout, Binod Kumar Sahu, Indu Sekhar Samanta, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…Also, the problem formulation for the PMUs placement is expressed, giving importance to the objective function, constraints, variables, and assessment index reflecting the optimality in placement. …”
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Reinforcement Learning-Driven Task Offloading and Resource Allocation in Wireless IoT Networks by Zahraa Hashim Kareem, Rami Qais Malik, Sarmad Jawad, Firas Abedi

“…Mobile IoT networks face major problems in completing efficient task offloading and allocating resources effectively, as all major actions require ample energy consumption and service delays. …”
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Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

“…The algorithm shall suggest to the planning operators an optimized scheduling of the activities, i.e., one which minimizes the total completion time (the makespan), while satisfying all the applicable constraints. …”
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A Box-Bounded Non-Linear Least Square Minimization Algorithm with Application to the JWL Parameter Determination in the Isentropic Expansion for Highly Energetic Material Simulatio... by Yuri Caridi, Andrea Cucuzzella, Fabio Vicini, Stefano Berrone

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An Efficient Sparse Twin Parametric Insensitive Support Vector Regression Model by Shuanghong Qu, Yushan Guo, Renato De Leone, Min Huang, Pu Li

“…Similar to twin parametric insensitive support vector regression (TPISVR), STPISVR constructs a pair of nonparallel parametric insensitive bound functions to indirectly determine the regression function. The optimization problems are reformulated as two sparse linear programming problems (LPPs), rather than traditional quadratic programming problems (QPPs). …”
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Adaptive data driven multi period power supply recovery method for distribution networks by Xi Ye, Meng Yang, Zhihong Yang, Qing Xiang, Yazhuo Li

“…Furthermore, considering the constraints of cyber-physical integration, an adaptive data driven power supply recovery model for distribution networks is established, and the column and constraint generation (C&CG) algorithm is adopted to solve the robust scheduling model. …”
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Automated Parcel Locker Configuration Using Discrete Event Simulation by Eugen Rosca, Floriana Cristina Oprea, Anamaria Ilie, Stefan Burciu, Florin Rusca

“…The paper investigates the optimal design of APLs systems under stochastic demand and operational constraints, formulating the problem as a resource allocation optimization with service-level guarantees. …”
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Design of a Lorentz Force Magnetic Bearing Group Steering Law Based on an Adaptive Weighted Pseudo-Inverse Law by Chenyu Wang, Lei Li, Weijie Wang, Yanbin Zhao, Baiqi Li, Yuan Ren

“…Incorporating spacecraft maneuvering requirements, a genetic optimization algorithm establishes the optimal mounting configuration under task constraints. …”
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Development of a Virtual Environment for Monitoring Underwater Electrical Cables by an Autonomous Underwater Vehicle Based on Fuzzy Cellular Automata by Tymochko O., Sotnikov О., Dudchenko S., Makarchuk D., Zazirnyi A., Kolodiazhnyi О.

“…The developed approach allows to synthesise a Pareto-optimal vehicle route along the estimated coordinates of the object of study, providing minimum fuel consumption for minimum cable inspection time and satisfying the given system of constraints. …”
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Exploiting full-duplex opportunities in WLANs via a reinforcement learning-based medium access control protocol by Song Liu, Peng Wei

“…Thus, we develop a Window-Constraint Bayesian (WCB) algorithm to generate optimized scheduling policies online. …”
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A GAN-Based Method for Cognitive Covert Communication UAV Jamming-Assistance Under Fully Labeled Sample Conditions by Wenxuan Fu, Bo Li, Haipeng Wang, Haochen Gong, Xiang Lin

“…This paper addresses the optimization problem for mobile jamming assistance schemes in cognitive covert communication (CR-CC), where cognitive users adopt the underlying mode for spectrum access, while an unmanned aerial vehicle (UAV) transmits the same-frequency noise signals to interfere with eavesdroppers. …”
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