Control-Oriented Real-Time Trajectory Planning for Heterogeneous UAV Formations by Weichen Qian, Wenjun Yi, Shusen Yuan, Jun Guan

“…During actual flight, the optimized parameters generate trajectory points for the formation to follow. …”
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Improvement of organisation for road transport functioning in a multimodal logistics system for grain delivary from Volgograd region to Iran by A. V. Kulikov, E. A. Bliznyakova, P. A. Pavlov, A. A. Kulikov

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High-Speed and Enhanced Motion Control for a Wheeled-Legged Humanoid Robot Using a Two-Wheeled Inverted Pendulum With Roll Joint by Jaewoo An, Jun Young Kim, Myo-Taeg Lim, Yonghwan Oh

“…Meanwhile, the whole-body controller (WBC), based on centroidal momentum, solves an optimization problem via quadratic programming (QP) while incorporating constraints from the rolling contact condition of the wheels and the dynamics of the humanoid robot. …”
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Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation by Yu LIU, Junhao ZHANG, Xue YAO, Xianxiang YU, Guolong CUI

“…The DFRC waveform design problem is formulated based on minimizing cross- and auto-correlation Peak Sidelobe Levels (PSL), while considering constant envelope and SHM constraints. …”
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An Efficient Transmission Power Design for SWIPT Multi-antenna Network Integrated by an Intelligent Reflecting Surface by Pham Viet Tuan, Dinh Long Hoang, Tu Ha Nguyen, Trong Duc Hoang

“…The sum transmission power minimization problem is formulated under the quality-of-service constraints of data rate and energy harvesting amount at the TS users and the equal time-switching periods. …”
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Optimum System Design Using Rough Interval Multi-Objective De Novo Programming by Iftikhar Hussein, Hegazy Zaher, Naglaa Ragaa Saeid, Hebaa Sayed Roshdy

“…Three methods are used to find the optimal system design for the proposed model, the first method is the weighted sum method (WSM) which  is used before reformulating RIMOP (bi of constraints is known), WSM gives one ideal solution among the feasible solutions under each bound of sub-problem, the second method is Zeleny’s approach and the third method is the optimal path- ratios, methods (two and three) are used after formulating (RIMODNP) (bi of constraints is unknown), Zeleny’s approach gives one (alternative) optimal system design under each bound of sub-problem, while the optimal path- ratios method: after checking the bounds according to Shi’s theorem, determines whether the bounds of the proposed model are feasible or not, and then use the method, this method uses three types of ratios gives three (alternatives) under each bound of sub-problem. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…The two modified particle swarm optimization algorithms showed notable improvements: AsyLnCPSO performed well on the training set but exhibited limited adaptability to overall data variations, while the GA-HIDMS-PSO excelled in high-dimensional and complex constraint problems, demonstrating the strongest stability with a fitting accuracy of 0.938, significantly improving the prediction accuracy of concrete performance under FTCs. …”
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Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach by Youwen Yi, Lianghong Peng

“…This study aims to explore the optimal power allocation problem under Distributed Denial of Service (DDoS) attack in wireless communication networks. …”
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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

“…Using the Tuna Swarm Optimization (TSO) algorithm in its enhanced form, the provided Enhanced Convolutional Transformer (ECT) model is optimally tuned to handle the problem dimensions with convergence problem parameters. …”
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Transient overvoltage suppression measures for new energy high penetration system at the sending end under bipolar blocking fault by Xinyue LI, Chunya YIN, Lin LI, Sijue WANG, Ying CHEN

“…Aiming at the transient overvoltage problem in the new energy high-penetration area of the feeder due to DC bipolar blocking fault, a converter bus reactive power allocation capacity optimization scheme is proposed with the constraint that the transient overvoltage of the wind farm with the lowest safety margin in the feeder system is suppressed to below the target value. …”
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HAPS-ISAC: Enhancing Sensing and Communication in 6G Networks With Advanced MIMO Beamforming by Parisa Kanani, Mohammad Javad Omidi, Mahmoud Modarres-Hashemi, Halim Yanikomeroglu

“…The performance of the system is optimized through a non-convex optimization problem that maximizes the minimum beampattern gain towards desired sensing angles while ensuring that the signal-to-interference-plus-noise ratio (SINR) requirements for CUs are satisfied, all under the power constraints of the HAPS. …”
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Multi-objective bi-level programming algorithm to design transition mechanism for wind farm participation in electricity markets by Wenjing Zhu, Ping Dong, Yuke Lu, Mingbo Liu

“…The lower level model jointly clears day-ahead and real-time energy and reserve markets considering the uncertainty of wind farm’s outputs via stochastic optimization problem to maximize social welfare. The bi-level model is transformed into a multi-objective mixed-integer nonlinear programming model using the Karush-Kuhn-Tucker condition and the big M method. …”
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Decision-maker’s behavioral preferences modeling in fuzzy goal programming through linear-nonlinear membership functions by Mohamed Sadok Cherif

“…A relevant extension of traditional goal programming (GP), fuzzy goal programming (FGP) can handle uncertainty and imprecision in multi-objective optimization problems. Based on fuzzy set theory, the notion of membership functions has been introduced to consider the fuzziness related to objectives and constraints. …”
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Title not available by Flinth, Axel, de Gournay, Frédéric, Weiss, Pierre

“…We propose an adaptive refinement algorithm to solve total variation regularized measure optimization problems. The method iteratively constructs dyadic partitions of the unit cube based on (i) the resolution of discretized dual problems and (ii) the detection of cells containing points that violate the dual constraints. …”
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Unlocking barriers and strategies of halal certification for micro and small enterprises in Indonesia: Analytic network process approach by Muhammad Anwar Fathoni, Prima Dwi Priyatno, Faizi, Fadhli Suko Wiryanto, Widarto Rachbini, Suryani

“…Financial constraints include high certification fees and costs associated with compliance. …”
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The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields by Shabanova A.R., Tolstoy I.M., Lebedev I.V.

“…Consequently, maintenance costs of overhead power line service can be optimized.…”
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A tutorial on properties of the epigraph reformulation by Oliver Stein

“…We focus on the complete compatibility of the original formulation and the epigraph reformulation with respect to solvability and unsolvability, the compatibility with respect to some, but not all, basic constraint qualifications, the formulation of first-order optimality conditions for problems with max-type objective function, and the interpretation of feasibility and optimality cuts along epigraphs in the framework of cutting plane methods. …”
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Flexibility-Constrained Energy Management of Smart Energy Hubs Considering Peer to Peer Transactive Energy and Demand Response Program by Ali Riki, Mahmoud Oukati Sadegh, Omid Narouei

“…The proposed model is a Mix Integer Non-Linear Problem (MINLP), which was solved using SCIP solver in GAMS software. …”
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Interior Point Algorithm for Multi-UAVs Formation Autonomous Reconfiguration by Wang Jian-hong, Rana Javed Masood

“…Combined with three kinds of cost functions, nonlinear dynamic equations, and four inequality constraints, one nonlinear multiobjective optimization problem is constructed. …”
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Secure beamforming design for IRS-assisted SWIPT Internet of things system by Zhengyu ZHU, Jinlei XU, Gangcan SUN, Ning WANG, Wanming HAO

“…In order to meet the new requirements of intelligent signal processing deployment and physical layer security for green interconnection of things, a design method of secure beamforming was proposed to solve the problem of the shortage of sustainable energy supply in the information and energy transmission at the same time Internet of things (IoT) system assisted by intelligent reflecting surface (IRS).Considering the constraints of secrecy rate, transmit power and IRS reflection phase shift, the optimization problem was modeled as a non-convex quadratic programming problem with quadratic constraints, aiming at maximizing the acquisition power of energy collector, and jointly optimizing the base station transmit beamforming matrix, jammer covariance matrix and IRS phase shift.The non-convex quadratic problem was transformed into an equivalent convex problem by using the relaxation variable, semidefinite relaxation method, auxiliary variable and sequence parameter convex approximation method, and an alternative iterative optimization algorithm was proposed to obtain the feasible solution of the original problem.Simulation results show that the proposed algorithm can converge quickly and improve performance effectively compared with the benchmark scheme.…”
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