Improving prediction accuracy of open shop scheduling problems using hybrid artificial neural network and genetic algorithm by Mohammad Reza Komari Alaei, Reza Rostamzadeh, Kadir Albayrak, Zenonas Turskis, Jonas Šaparauskas

“… Scheduling issues are typically classified as constrained optimization problems that examine the allocation of machines and the sequence in which tasks are processed. …”
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Rational design of the aerodynamic rudder structure taking into account strength, rigidity and aeroelastic stability by V. N. Akimov, Ya. A. Kupriyanova, S. G. Parafes’

“…To solve this problem, a design algorithm for the rudder, using topological and parametric optimization, is proposed. …”
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Radio resource and trajectory optimization for UAV assisted communication based on user route by Lei LANG, Jingning WANG, Yi WANG, Zitao ZHAO

“…Recently, research on the application of unmanned aerial vehicle (UAV) in wireless communication networks has been widely studied.Aiming at the downlink wireless transmission system of UAV assisted mobile user communication, a method of resource allocation and trajectory optimization based on user route was proposed.According to the known user route, the estimated large-scale channel state information was obtained in advance, and a joint optimization problem of communication bandwidth allocation and trajectory optimization was established to maximize the minimum average rate of users.The problem was a nonconvex optimization problem, and there was nonlinear coupling between the variables.By introducing the method of alternating optimization of auxiliary variables and separated variables, the original problem was decomposed into two approximate convex optimization subproblems which could be solved, and the successive convex approximation was used to iteratively optimize the two subproblems, and an approximate suboptimal solution of the original nonconvex problem was obtained.Simulation results show that the proposed method of resource allocation and trajectory optimization can effectively improve the average data throughput of users, and improve the efficiency of UAV assisted communication on the premise of ensuring the communication quality of all users.…”
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Radio resource and trajectory optimization for UAV assisted communication based on user route by Lei LANG, Jingning WANG, Yi WANG, Zitao ZHAO

“…Recently, research on the application of unmanned aerial vehicle (UAV) in wireless communication networks has been widely studied.Aiming at the downlink wireless transmission system of UAV assisted mobile user communication, a method of resource allocation and trajectory optimization based on user route was proposed.According to the known user route, the estimated large-scale channel state information was obtained in advance, and a joint optimization problem of communication bandwidth allocation and trajectory optimization was established to maximize the minimum average rate of users.The problem was a nonconvex optimization problem, and there was nonlinear coupling between the variables.By introducing the method of alternating optimization of auxiliary variables and separated variables, the original problem was decomposed into two approximate convex optimization subproblems which could be solved, and the successive convex approximation was used to iteratively optimize the two subproblems, and an approximate suboptimal solution of the original nonconvex problem was obtained.Simulation results show that the proposed method of resource allocation and trajectory optimization can effectively improve the average data throughput of users, and improve the efficiency of UAV assisted communication on the premise of ensuring the communication quality of all users.…”
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Designing an Industry-Oriented Problem-Based Learning Model to Enhance Vocational High School Students' Work Readiness by Bambang Sudarsono, Wegig Pratama

“… Industry-Oriented Problem-Based Learning Model (I-ProBL) was developed to address the work readiness of vocational high school graduates that are not fully aligned with industry needs. …”
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Adaptive Spatial Modulation Based Visible Light Communications: SER Analysis and Optimization by Jin-Yuan Wang, Jian-Xia Zhu, Sheng-Hong Lin, Jun-Bo Wang

“…Based on the two aspects, the theoretical expression of the average SER is derived. To further improve the performance of the system, an optimization problem is proposed to optimize the modulation orders on the LEDs. …”
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Environmental Forming Health Improving Effect of Tree and Shrub Vegetation as a Sanogenic Factor on Air: View on the Problem by N. Lukianchuk, P. Tretyak

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Controllability Analysis and Optimization of Hydrocannon Nozzle Shape Based on Direct Extreme Approach by V. K. Tolstykh, Yu. V. Dmitruk

“…The first proposed approach, in combination with the desired adaptive gradient optimization methods, allowed us not only to correctly formulate the optimization problem, but also to find optimal nozzle shapes that provided the maximum average pulse force of the ultrajet. …”
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The Boltzmann distribution in the problem of rational choice by population of a patch under an imperfect information about its resources by Alexander N. Kirillov, Inna V. Danilova

“…This problem belongs to the theory of optimal foraging, which, in turn of, studies issues related to the behavior of the population when it leaves the patch or chooses the most suitable one. …”
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Introducing the MCHF/OVRP/SDMP: Multicapacitated/Heterogeneous Fleet/Open Vehicle Routing Problems with Split Deliveries and Multiproducts by Duygu Yilmaz Eroglu, Burcu Caglar Gencosman, Fatih Cavdur, H. Cenk Ozmutlu

“…Although MIP is able to find optimal solutions of small size (10 customers) problems, when the number of customers increases, the problem gets harder to solve, and thus MIP could not find optimal solutions for problems that contain more than 10 customers. …”
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An exploratory study of history-based test case prioritization techniques on different datasets by Syed Muhammad Junaid Hassan, Dayang N. A. Jawawi, Johanna Ahmad

“…Secondly, random sorting does not produce optimal results while trying to solve the problem of equal priority in history-based TCP. …”
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Image Segmentation Method With Improved GA Optimization of Two-Dimensional Maximum Entropy by Jin Wang, Yanli Tan, Xiaoning Bo, Guoqin Li

“…The Levy flight constant is used to overcome the local optimization problem. The experiment findings indicate that the optimized algorithm improves the similarity of medical image features by an average of 11.2%, reduces segmentation accuracy by 2.6% under noise interference compared to other algorithms, and has an average peak signal-to-noise ratio 0.96 higher than other algorithms. …”
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Optimality of Multichannel Myopic Sensing in the Presence of Sensing Error for Opportunistic Spectrum Access by Xiaofeng Jiang, Hongsheng Xi

“…The optimization problem for the performance of opportunistic spectrum access is considered in this study. …”
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Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks by Xueling Wu, Long Qu, Maurice J. Khabbaz

“…Simulation results demonstrate that the proposed CGA consistently outperforms EASA, the Genetic Algorithm (GA), and the Juventas Algorithm, achieving an average deviation of only 1.84% from the global optimal solution.…”
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Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment by Guiliang Zhou, Shuaiqi Lü, Lina Mao, Kaiwen Xu, Tianwen Bao, Xu Bao

“…To overcome the issues of simple strategy and easy fall into local optimum when solving UAV 3D path planning problem, we propose an improved Levy Pelican Optimization Algorithm (LPOA) that incorporates the hunter-prey algorithm and solves the UAV 3D path planning problem based on the improved LPOA. …”
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Robust optimal reinsurance-investment strategy with extrapolative bias premiums and ambiguity aversion by Ailing Gu, Xuanzhen Zhang, Shumin Chen, Ling Zhang

“…In order to derive robust optimal reinsurance-investment strategies, we establish an optimal control problem by maximizing the insurer's expected exponential utility of terminal wealth and solve the optimization problem explicitly. …”
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KENDALI OPTIMAL DARI SISTEM INVENTORI DENGAN PENINGKATAN DAN PENURUNAN BARANG by P Affandi, Faisal Faisal, Y Yulida

“…It can be concluded that, in theory, inventory system can be increased and decreased. This problem can be modeled and solved using optimal control techniques, so it will be obtained an optimum value of inventory levels and the average optimal production.…”
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Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…However, classical techniques often face problems in solving this optimization problem. They tend to need large amounts of computing time, large amounts of memory. …”
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Energy Efficiency Optimization for UAV-RIS-Assisted Wireless Powered Communication Networks by Xianhao Shen, Ling Gu, Jiazhi Yang, Shuangqin Shen

“…Furthermore, deep reinforcement learning (DRL) is introduced to effectively solve the formulated optimization problem. Simulation results demonstrate that the proposed optimized scheme outperforms benchmark schemes in terms of average throughput and energy efficiency. …”
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Research on the Location-Routing Optimization of International Freight Trains Considering the Implementation of Blockchain by Zhichao Hong, Hao Shen, Wenjie Sun, Jin Zhang, Hongbin Liang, Gang Zhao

“…A bi-objective location-routing optimization model is constructed to optimize problems, such as the location of the assembly center, route of freight assembly, frequency of international freight trains, and number of formations. …”
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