STOCHASTIC MODELING OF OPTIMIZED CREDIT STRATEGY OF A DISTRIBUTING COMPANY ON THE PHARMACEUTICAL MARKET by M. Boychuk, O. Yaroshenko

“…The research of the stochastic optimal control problem involves the construction of the left process of crediting with determination of the shift point of that control, the choice of the right crediting process and the formation of the optimal credit process. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…A hybrid solution approach that integrates the Sample Average Approximation (SAA) and Benders Decomposition (BD) algorithms is used to efficiently solve the resulting large-scale problem. …”
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Dynamic pricing optimization for high-speed railway based on passenger flow assignment. by Jiren Cao, Lei Nie, Lu Tong, Zhenhuan He, Zhangjiaxuan Liu

“…In order to improve the operation efficiency and market competitiveness, how to optimize the ticket pricing strategy of high-speed railway to match the dynamic supply-demand relationship was an urgent problem to be studied. …”
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Optimal Determination of the Q/A Factor for Parabolic Concentrator Solar Collector Networks by Juan-Ramón Lizárraga-Morazán, Martín Picón-Núñez

“…A MINLP optimisation problem with 9 decision variables is solved using the heuristic technique of Particle Swarm Optimization (PSO) coupled with a proposed and validated transient thermohydraulic-economic model. …”
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The Shrinking of Beijing and the Rising of Xiong’an: Optimize Population Migration in terms of Transport Service by Hongzhi Lin

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Design and Optimization of Non-Coplanar Orbits for Orbital Photovoltaic Panel Cleaning Robots by Yingjie Zhao, Yuming Qi, Bing Xie

“…Aiming at the problem that it is difficult for an orbital photovoltaic panel cleaning robot to span a large distance between photovoltaic panels, a method of designing and optimizing a non-coplanar orbit based on Bezier curves is proposed. …”
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FedCVG: a two-stage robust federated learning optimization algorithm by Runze Zhang, Yang Zhang, Yating Zhao, Bin Jia, Wenjuan Lian

“…Under conditions of high data heterogeneity, the gradient conflict problem in federated learning becomes more pronounced, making traditional defense mechanisms against poisoning attacks less adaptable between scenarios with and without attacks. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

“…Current music education games are challenging in meeting students' personalized learning needs. Interactive optimization technology based on EMD-RNN provides new possibilities for solving this problem. …”
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Application of inertial navigation high precision positioning system based on SVM optimization by Ruiqun Han

“…Consequently, the average sum of squared errors was reduced by 71.74 %, and the convergence speed increased by 55.56 %. …”
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Research on Optimization of Target Positioning Error Based on Unmanned Aerial Vehicle Platform by Yinglei Li, Qingping Hu, Shiyan Sun, Yuxiang Zhou, Wenjian Ying

“…Achieving precise target localization for UAVs is a complex problem that is often discussed. In order to achieve precise spatial localization of targets by UAVs and to solve the problems of premature convergence and easy to fall into local optimum in the original dung beetle algorithm, an error handling method based on the coordinate transformation of an airborne measurement system and the dung beetle optimization with crisscross and 3 Sigma Rule optimization (CCDBO) is proposed. …”
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Optimal Allocation of Hybrid Energy Storage Capacity for Microgrids Considering Electric Vehicles by Yvhua Bian, Haizheng Wang, Jinhua Zhang, Jie Yan, Xiaoke He

“…Additionally, this paper utilizes a modified Subtraction-Average-Based Optimizer (SABO) algorithm to optimize variable mode decomposition (VMD) in addressing the power allocation problem of HESS. …”
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Modelling of Electrical Discharge Processes for Optimization of Corona-Protection System of High Voltage Rotating Machines Insulation by Andreev A.M., Andreev I.A., Belko V.O., Reznik A.S., Smirnov A.N., Stepanov A.A.

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Integrated Optimization of Tram Schedule and Signal Priority at Intersections to Minimize Person Delay by Wen Zhou, Yun Bai, Jiajie Li, Yuhe Zhou, Tang Li

“…The results indicate that the integrated optimization can reduce the average delay of all passengers on trams and other vehicles, compared to timetable optimization only and TSP only. …”
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Maximizing Spectrum Efficiency of Data-Carrying Reference Signals via Bayesian Optimization by Taiki Kato, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

“…In our numerical optimization, we derive an upper bound on the normalized mean squared error (NMSE) of estimated channel matrices and a lower bound on the noncoherent average mutual information (AMI), and these bounds are optimized simultaneously by using a Bayesian optimization technique. …”
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Research on Nonlinear Error Compensation and Intelligent Optimization Method for UAV Target Positioning by Yinglei Li, Qingping Hu, Shiyan Sun, Wenjian Ying, Xiaojia Yan

“…This study proposes an error allocation method based on the improved raccoon optimization algorithm (KYCOA) to resolve the problem of degradation of positioning accuracy due to multi-source error coupling during UAV target positioning. …”
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Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…Abstract This paper proposes a cross-domain intelligent traffic signal control method based on federated Proximal-Policy Optimization (PPO) for distributed joint training of agents across domains for typical intersections, aiming at solving the problems of slow learning speed and poor model generalization when deep reinforcement learning (RL) is applied to cross-domain multi-intersection traffic signal optimization control. …”
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Investigating the Effects of Practice Time on Student Achievement Considering Variations in Demographics across Various Chemistry Topics by Sloka Suresh, Stephanie Toy, Neha Gondra, Auddy Guerrero Anilao, Brandon Vernoy, Ingo Eilks, Ozcan Gulacar

“…This study examined the relationship between the time students spend on practice problems and their performance on exams in various chemistry topics, considering their demographics. …”
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Optimal management of long-term air leakage after lung resections for cancer by K. D. Iozefi, D. A. Kharagezov, Yu. N. Lazutin, O. N. Stateshny, A. G. Milakin, I. A. Leyman, T. G. Ayrapetova, V. N. Vitkovskaya, M. A. Gappoeva, E. A. Mirzoyan, M. A. Khomidov, A. N. Shevchenko, S. N. Dimitriadi

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Optimal Scheduling Method for Power Generation of Cascade Reservoirs Based on RLDE Algorithm by CHEN Jia-wen, ZHU Xin, TANG Zheng-yang, SHEN Ke-yan, CHEN Xiao-lin, QIN Hui

“…This process enhanced population diversity, greatly mitigated problems such as premature convergence or population evolutionary stagnation found in the traditional DE algorithm, thereby improving optimization performance. …”
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