Experimental study on solution possibilities of multiextremal optimization problems through heuristic methods by Rudolf A. Neydorf, Ivan V. Chernogorov, Orkhan Takhir Yarakhmedov, Victor V. Polyakh

“…Therefore, three best known and developed search engine optimization techniques are studied: particle swarm method, evolutionary genetic approach, and ant colony algorithm. …”
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Research on the optimization method of inventory management of important spare parts of intercity railway. by Dongyan Wang, Ying Sun, Liang Yu, Kun Shen, Junbo Li, Xia Wu

“…This result fully demonstrates the superiority of the optimization model established in this paper in practical applications and provides new ideas and methods for the management of spare parts for other intercity railways.…”
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Sustainable Optimization of the Injection Molding Process Using Particle Swarm Optimization (PSO) by Yung-Tsan Jou, Hsueh-Lin Chang, Riana Magdalena Silitonga

“…Together, this hybrid approach achieves what neither method could accomplish alone: the BPNN accurately models the intricate process-quality relationships, while PSO rapidly converges on optimal parameter sets that simultaneously meet strict quality targets (66–70 g weight, 3–5 mm thickness) and minimize energy consumption. …”
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Enhancing NUE in Corn Through Optimized Sensor-Based Prescription Maps by Salman Mirzaee, Ali Mirzakhani Nafchi

“…Enhancing nitrogen use efficiency (NUE) through optimized application methods can benefit agronomic productivity and environmental sustainability. …”
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Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…Subsequently, a forward labeling-based multi-objective path planning algorithm is proposed to develop an optimization model. Experimental results demonstrate that the proposed method can effectively constrain the UAV’s horizontal and vertical positioning errors within 2.5 m, while optimally balancing flight distance and positioning accuracy to ensure the successful execution of long-range maritime UAV missions. …”
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Optimization of the Imaged cIEF Method for Monitoring the Charge Heterogeneity of Antibody-Maytansine Conjugate by Ayat Abbood

“…A good separation of charge isoforms was obtained with 4% carrier ampholytes of a large (3–10) and narrow pH range (8–10.5) (1 : 1 ratio), conjugated antibody concentration (0.3–1 mg/ml) with a good linearity (R2: 0.9905), 2 M of urea concentration, and 12 minute for focusing. The optimized icIEF method demonstrated a good interday repeatability with RSD values: <1% (pI), <8% (% peak area), and 7% (total peak areas). …”
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The optimal method of surgical treatment of patients with floating thrombosis of the iliac-femoral venous segment by O. A. Alukhanyan, R. A. Solovev, Kh. G. Martirosyan, D. S. Aristov, E. A. Petrosyan

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Study on Optimal Conventional Triaxial Strength Criterion of Rock Based on Gauss-Newton Method by Tian Mengtao, Guo Baohua, Zhang Zhezhe, Zhu Chuangwei, Zhong Pengbo

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Optimization Design Method of Pipe-Insulating Joints Based on Surrogate Model and Genetic Algorithm by Chen Guo, Zheng Yang, Jianbo Dong, Yanchao Yue, Linjun Tian, Ping Ma

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Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks by Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su

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Ultrasound and microwave assisted extraction of acorn oil (Quercus brantii): Optimization and characterization by Samaneh Niari, Nasser Hamdami, Mohsen Dalvi-Isfahan, Alain Le-Bail

“…This study aimed to optimize the extraction parameters and increase the oil yield, by comparing both microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE) methods of extracting acorn oil (Quercus brantii). …”
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Development of A Novel Discharge Routing Method Based On the Large Discharge Dataset, Muskingum Model, Optimization Methods, and Multi-Criteria Decision Making by Mahdi Valikhan Anaraki, Saeed Farzin, Iman Ahmadianfar, Amin Shams

“…Discharge routing is a key method for predicting downstream hydrograph in canals or rivers. …”
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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

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THE OPTIMIZATION METHOD OF FUZZY AUTOMATIC CLASSIFICATION IN THE PROBLEM OF COMBINING THE ASSESSMENTS OF TRAJECTOR MEASUREMENTS IN THE RADAR SYSTEM by A. V. Khizhniak

“…The paper describes the application of the optimization method of fuzzy automatic classification in the problem of combining estimates of trajectory measurements in a radar system. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…The objective is to design a model that allocates resources optimally while maintaining stability. To achieve this, the study employs techniques such as dynamic neural networks, robustness optimization, and resilience strategies. …”
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Optimization of Fusion Method for GF-2 Satellite Remote Sensing Images based on the Classification Effect by Jintong Ren, Wunian Yang, Xin Yang, Xiaoyu Deng, He Zhao, Fang Wang, Lei Wang

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Process Optimization of Plasma Etching on the Size Reduction of Polystyrene Microspheres by SUN Shiyang, HUANG Shengbao, QIAN Yuanjin, LIU Dongkun, LI Jiabin, REN Yuan, ZHANG Wenxing

“…The inductively coupled plasma (ICP) etching technique，along with polystyrene (PS) microspheres as masks for etching technology，has been widely applied in the fabrication of silicon nanoarrays.However，the size reduction process of PS microspheres during etching is often accompanied by surface quality degradation.Additionally，the morphology of PS microspheres is influenced by multiple process parameters，making research challenging.To address these challenges，an orthogonal experimental method was employed to thoroughly investigate the process effects of the ICP process in the size reduction of PS microspheres with a particle size of 10 μm.Results showed that the gas composition had a significant impact on the etching effect，while the RF power exhibited positive correlations with both microsphere size reduction and surface roughness，pressure showed a negative correlation with microsphere surface roughness，and gas flow rate had negligible effects.Based on the above conclusions，the optimal process parameters were ultimately determined as follows:addition of 20%CF4&#x00A0;to O2，RF power 200 W-100 W (inductive power-DC bias power)，pressure 3.0 Pa，and gas flow rate 50 mL/min (O2&#x00A0;∶CF4&#x00A0;flow ratio of 4 ∶1).Under the optimal process parameters，the surface roughness was minimized without compromising the etching reduction effect of PS microspheres.The highly linearized silicon nanoarrays with smooth outer surfaces were successfully fabricated using this optimized template.…”
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A spectral Fletcher-Reeves conjugate gradient method with integrated strategy for unconstrained optimization and portfolio selection. by Nasiru Salihu, Sulaiman M Ibrahim, P Kaelo, Issam A R Moghrabi, Elissa Nadia Madi

“…In the context of portfolio selection, the proposed method extended to address the problem of stock allocation, ensuring optimized returns while minimizing risks. …”
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Optimization Strategy for Demand Response Participation of Heterogeneous Flexible Load Aggregators Based on Inner Approximation Method by Chenzheng Xie, Rui Zhu, Xinge Xu, Yingyun Sun

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Supply Chain Design Method for Introducing Floating Offshore Wind Turbines Using Network Optimization Model by Taiga Mitsuyuki, Takahiro Shimozawa, Itsuki Mizokami, Shinnosuke Wanaka

“…This paper presents a method to model and optimize the supply chain processes for floating offshore wind turbines using a network model based on Generalized Multi-Commodity Network Flows (GMCNF). …”
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