Phase Retrieval Utilizing Particle Swarm Optimization by Li-Jing Li, Teng-Fei Liu, Ming-Jie Sun

“…However, due to the nonconvex feature of the phase optimization problem, it remains a challenge to globally obtain the optimal phase information. …”
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Modular Coordination of Vehicle Routing and Bin Packing Problems in Last Mile Logistics by Nikica Perić, Anđelko Kolak, Vinko Lešić

“…The paper describes a modular coordination of vehicle routing and bin packing problems that enables independent instances of the problems to be joined together, with the aim that the vehicle routing solution satisfies all the constraints from real-world applications. …”
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Combining 3-Opt and Improved Discrete Cuckoo Search Algorithm for the Traveling Salesman Problem by A. Sarucan, M. F. Berkaya

“…The traveling salesman problem (TSP) is a well-known NP-hard combinatorial optimization problem. …”
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Application of Improved WOA in Hammerstein Parameter Resolution Problems under Advanced Mathematical Theory by Lu Zhao, Jiangjun Liu, Yuan Li

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Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation by Nasreddine Bouchikhi, Fethi Boussadia, Riyadh Bouddou, Ayodeji Olalekan Salau, Saad Mekhilef, Chaima Gouder, Sarra Adiche, Abdallah Belabbes

“…The findings indicate that the optimal DG placement in the 33-bus system results in a 69.7% decrease in average power loss, a 69.6% decrease in real power loss, and a 7.3% enhancement in voltage stability. …”
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Efficient cutting stock optimization strategies for the steel industry. by Chattriya Jariyavajee, Suthida Fairee, Charoenchai Khompatraporn, Jumpol Polvichai, Booncharoen Sirinaovakul

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”
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Simulation Model to Optimize Turnover Schedule for Train Locomotives by P. A. Kozlov, S. P. Vakulenko

“…It is first time the problem was formulated as a strict optimization model - a dynamic transportation problem. …”
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Optimal Management of Rechargeable Biosensors in Temperature-Sensitive Environments by Yahya Osais, F. Richard Yu, Marc St-Hilaire

“…This problem can be formulated as a Markov Decision Process (MDP) and solved to obtain the optimal policy which maximizes the average number of samples that can be generated by the biosensor while observing the constraint on the maximum safe temperature level. …”
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Methods of Sparse Measurement Matrix Optimization for Compressed Sensing by Renjie Yi, Shunan Han, Peng Liu, Bo Zhang, Hang Liu

“…This paper considers the optimization problem of the sparse measurement matrix. …”
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Optimization of the Weight Processing Algorithm in Multichannel Doppler Filtering by V. I. Koshelev, Ngoc Hieu Trinh

“…Optimization of the weight processing of MDF under the specified conditions increased the average efficiency characteristics used of up to 53.18 dB and 0.92, respectively.Conclusion. …”
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Approximated Optimal Solution for Economic Manufacturing Quantity Model by Jinyuan Liu, Pengfei Jiang, Shr-Shiung Hu, Gino K. Yang

“…This study investigates the use of the bisection algorithm in inventory models to obtain an approximated optimal solution for the economic manufacturing quantity (EMQ) problem under imperfect production conditions. …”
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METHOD OF QUALIFICATION ESTIMATION AND OPTIMIZATION OF PROFESSIONAL TEAMS OF PROGRAMMERS by A. A. Prihozhy, A. M. Zhdanouski

“…The problem of building and optimizing the teams of programmers taking into account the qualification and the level of skills in programming technologies and tools is considered. …”
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Heuristics for the Order-Picking Problem With Sequence-Dependent Constraints and a One-Directional Conveyor by Kateryna Czerniachowska, Marcin Hernes

“…Central to this approach is decomposing the order-picking problem and finding the product quantity using mathematical programming. …”
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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…The main motivation for the development of FCMA has been to significantly reduce the solving time of the resource allocation problem compared to a previous state-of-the-art optimal Integer Linear Programming (ILP) model. …”
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Universal Continuous Model of Active Power Factor Correctors by Amelina M., Amelin S., Yakimenko I.

“…The models are designed to solve optimization problems aimed at increasing the energy efficiency of these devices. …”
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The selective multiple depot pickup and delivery problem with multiple time windows and paired demand by Daniël Roelink, Giovanni Campuzano, Martijn Mes, Eduardo Lalla-Ruiz

“…We formulate the SMDPDPMTWP as a Mixed-Integer Linear Program (MILP) to maximize profit and optimize freight selection for return trips. In addition to the main model, three problem extensions are proposed: (i) profit maximization including CO2 costs, (ii) soft time windows, and (iii) soft time windows including CO2 costs. …”
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Optimization and Improvement on Adhesion Control for HXD1 Locomotive by ZHANG Guoshun, LIU Zhenhua, GAO Shoucong, ZHANG Zhengfang, HU Yunqing

“…Based on auto-regressive moving average model(ARMA) optimal estimation filter theory, creep speed differential estimates was optimized, which improved traction performance. …”
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THE EFFECTIVENESS OF PROBLEM-BASED AND DISCOVERY LEARNING MODELS ON STUDENTS' MATHEMATICAL CRITICAL THINKING ABILITIES by Adi Nurjaman, Indah Puspita Sari, Wahyu Hidayat

“… Critical thinking skills are essential for addressing 21st-century challenges, which requires a learning model that can optimally engage students' cognitive abilities. This study aims to examine the improvement of students' critical mathematical thinking skills (KBKM) through learning that utilizes the Problem-Based Learning (PBL) and Discovery Learning models, based on the students' skill levels. …”
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Polynomial Phase Signal Denoising via Sparse Representations Over a SMAF-Based Dictionary Learning Algorithm by Guojian Ou, Chenping Zeng, Jiaqiang Dong, Die Han

“…In this paper, we address the problem of denoising polynomial phase signals (PPS) by removing additive white Gaussian noise. …”
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OPTIMIZATION OF MEDICAL-PSYCHOLOGICAL-PEDAGOGIC SUPPORT OF CHILDREN AT SCHOOL by E. A. Tepper, T. E. Taranushenko, I. O. Loginova, D. S. Kaskayeva, T. V. Sviridova

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