Cooperative Detection-Oriented Formation Design and Optimization of USV Swarms via an Improved Genetic Algorithm by Rui Liang, Dingzhao Li, Haixin Sun, Liangpo Hong

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Utilizing woven flax/hemp yarn on SS304 wiremesh reinforced flax fiber composites for tribological applications by R. Elayaraja, G. Rajamurugan

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Developing a Machine Learning-Driven Model that Leverages Meta-Heuristic Algorithms to Forecast the Load-Bearing Capacity of Piles by Tianhua Zhou

“…Additionally, it uses two separate meta-heuristic optimization methods, namely the Golden Jackal optimization algorithm (GJO) and Smell Agent Optimization (SAO), to achieve the best possible results. …”
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ASSESSMENT OF OPTIMALITY LEVEL OF ACCUMULATED STRAIN DISTRIBUTION IN FORGINGS MADE IN OPEN PRESS TOOLS by Armenak V. Vovchenko

“…The generalized estimation technique of the optimality level of the strain distribution in the forgings is offered. …”
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Mathematical Analysis of a Resource-Based Dispersal Model With Gompertz Growth and Optimal Harvesting by Md. Kamrujjaman, Sayeda Irin Akter, Kamrun Nahar Keya, Md. Haider Ali Biswas, Md. Rafiul Islam, K. M. Ariful Kabir

“…The analytical approach explains the ubiquitous stability of a time-periodic solution and seeks the optimal strategy for harvesting under the Gompertz growth law, potentially generalizing the results for many small organisms, including plants and wild populations. …”
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Model Selection in Beta Regression Analysis Using Several Information Criteria and Heuristic Optimization by Mehmet Ali Cengiz, Emre Dünder

“…In the context of generalized linear modelling (GLM), the beta regression analysis is used to estimate regression models when the dependent variable lies between (0,1). …”
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Design and optimization of a packed bed scrubber for purification of waste gas containing ammonium by Arsenijević Zorana Lj., Radović Ivona R., Kijevčanin Mirjana Lj., Kaluđerović-Radoičić Tatjana S.

“…It was found that optimal results are achieved in a two-stage device, using 70 vol.% sulfuric acid for chemisorption of ammonia. …”
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Abnormal traffic detection method based on LSTM and improved residual neural network optimization by Wengang MA, Yadong ZHANG, Jin GUO

“…Problems such as a difficulty in feature selection and poor generalization ability were prone to occur when traditional method was exploited to detect abnormal network traffic.Therefore, an abnormal traffic detection method based on the long short term memory network (LSTM) and improved residual neural network optimization was proposed.Firstly, the features and attributes of network traffic were analyzed, and the variability of the feature values was reduced by preprocessing of network traffic.Then, a three-layer stacked LSTM network was designed to extract network traffic features of different depths.Moreover, the problem of weak adaptability of feature extraction was solved.Finally, an improved residual neural network with skipping connecting line was designed to optimize the LSTM.The defects of deep neural network such as overfitting and gradient vanishing were optimized.The accuracy of abnormal traffic detection was improved.Experimental results show that the proposed method has higher training accuracy and better visibility of data processing.The classification accuracy rates under two classifications and multiple classifications are 92.3% and 89.3%.It has the lowest false positive rate when the parameters such as precision rate and recall rate are optimal.Moreover, it has strong robustness when the sample is destroyed.Furthermore, better generalization ability can be achieved.…”
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Optimizing chromosome yield: a comparative analysis of harvesting, preparation and waste recovery methods by Sarah L. Berger, Rinyaporn Phengchat, Stanley W. Botchway, Mohammed Yusuf

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Traffic Structure Optimization in Historic Districts Based on Green Transportation and Sustainable Development Concept by Qiuping Wang, Hao Sun

“…By iterating the Nash equilibrium solution of the model, the optimal structure and the optimal share of the traffic modes in the historical districts can be predicted. …”
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Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM by Yi Zou, Wenlei Sun, Tiantian Xu, Bingkai Wang

“…The proposed RUL prediction model is tested on various datasets to evaluate its generalization ability and applicability. The obtained results demonstrate that the proposed denoising method has high performance. …”
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Application of Transcendental Bernstein Polynomials for Solving Two-Dimensional Fractional Optimal Control Problems by Fateme Ghomanjani, Samad Noeiaghdam, Sanda Micula

“…In fact, for solving the problem, we generalize the Bernstein polynomials to a larger class of functions which can provide more accurate approximate solutions. …”
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Optimal double acceptance sampling inspection plans based on inverted Nadarajah-Haghighi distribution by Mehran Naghizadeh Qomi, Zohre Mahdizadeh

“…Purpose: In this paper, we present optimal single acceptance sampling inspection plans for Inverted Nadarajah-Haghighi distribution so that the consumer’s and producer’s risks are controlled simultaneously.Methodology: Nonlinear optimization program is used to obtain the optimal sample size and acceptance number as well as the associated consumer’s and producer’s risks.Findings: Optimal sample size and acceptance number are obtained in generalized half-normal distribution. …”
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A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox by Jingbo Gai, Junxian Shen, He Wang, Yifan Hu

“…Aiming at the problems of poor self-adaptive ability in traditional feature extraction methods and weak generalization ability in single classifier under big data, an internal parameter-optimized Deep Belief Network (DBN) method based on grasshopper optimization algorithm (GOA) is proposed. …”
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Accumulative Approach in Multistep Diagonal Gradient-Type Method for Large-Scale Unconstrained Optimization by Mahboubeh Farid, Wah June Leong, Lihong Zheng

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Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets by Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish

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An Optimal Inequality for Warped Product Pointwise Semi-Slant Submanifolds in Complex Space Forms by Md Aquib

“…In this paper, we utilize advanced optimization techniques on Riemannian submanifolds to establish two distinct inequalities concerning the generalized normalized <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>δ</mi></semantics></math></inline-formula>-Casorati curvatures of warped product pointwise semi-slant (WPPSS) submanifolds within complex space forms. …”
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Quasi‐Static Closed‐Loop Wind‐Farm Control for Combined Power and Fatigue Optimization by Ishaan Sood, Christophe del Fosse et d'Espierres, Johan Meyers

“…ABSTRACT To counteract detrimental turbine–turbine aerodynamic interactions within large farms and increase overall power production, closed‐loop wind‐farm control strategies such as wake steering have emerged as a popular means to facilitate real‐time wind‐farm flow control. The optimal wake steering set points to maximize farm power production for a given inflow condition are generally determined using fast engineering models. …”
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Dynamics and Chaos Intensity Analysis of Under-Actuated Mechanism by Uniformity and Particle Swarm Optimization by Hui Li, Yang Shu, Yongping Gu, Wuye Xiang, Feng Zhang

“…Finally, based on uniformity, the particle swarm optimization algorithm successfully achieves the suppression and enhancement of the chaos intensity of the closed-chain under-actuated five-bar mechanism by optimizing its linkage length and driving speed, and the results are verified by the experimental platform.…”
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Optimization of corn drying methods: A comparative study of traditional varieties and modern hybrids by Matin Ana, Brandić Ivan, Jurišić Vanja, Tomić Ivana, Matin Božidar, Krička Tajana, Grubor Mateja, Pucko Filip, Jovičić Nives, Špelić Karlo

“…The results show that vacuum drying is generally more effective in maintaining quality, while fluidized bed drying offers a significantly faster drying rate. …”
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