Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

“…To solve this problem, an Adaptive Crayfish Optimization Algorithm (ACOA) is introduced. This algorithm incorporates crossover and mutation operators, making it effective for discrete optimization problems. …”
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An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems by Marwa M. Emam, Mohammed R. Saad, Mina Younan, Essam H. Houssein

“…EDO-LFOL enhances EDO by integrating the Levy flight (LF) strategy during the intensification phase and utilizing the orthogonal learning (OL) approach after the end of the optimization cycle. This adjustment aims to mitigate the risk of local optima entrapment and improve the quality of the solutions obtained. …”
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Comparative Review of Multi-Objective Optimization Algorithms for Design and Safety Optimization in Electric Vehicles by I Gede S. S. Dharma, Rachman Setiawan

“…This study addresses this gap by comparing these newer algorithms against traditional methods using a newly introduced benchmark problem focused on BEV battery protection (RWMOP-BEV). The design problem aimed to maximize energy absorption during impact, enhance crash force efficiency, and optimize temperature difference, all while adhering to design space and operational constraints. …”
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Real power loss reduction by Rock Dove optimization and Fuligo Septica optimization algorithms by Kanagasabai L.

“…This paper aims to use the Rock Dove (RD) optimization algorithm and the Fuligo Septica optimization (FSO) algorithm for power loss reduction. …”
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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation by Liang Xiang, Xiajie Zhao, Jianfeng Wang, Bin Wang

“…Thresholding image segmentation aims to divide an image into a number of regions with different feature attributes in order to facilitate the extraction of image features in the context of image detection and pattern recognition. …”
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Deep learning model optimization for crop prediction and recommendation using Harris Hawks optimization by P Latha, Kumaresan P

“…The HHO, a leading swarm-based technique, was employed to enhance soil health analysis and to optimize crop prediction parameters. The Adam Optimizer refines hyperparameters such as learning rate, batch size, iterations, dropout rates, and hidden layers, improving training accuracy. …”
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Distance 2-restricted optimal pebbling in cycles by Chin-Lin Shiue, Tzu-Hsien Kwong

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Constructing optimized Boolean functions by CHEN Wei1, YANG Yi-xian1, NIU Xin-xin2

“…Considering connections of characteristics,aiming construction for the optimized Boolean functions,new method based on Bent function,discrete Walsh spectrum and characteristics matrices were presented by concatenating,breaking,and revising output sequence conditionally.This new construction can be used to construct kinds of functions satisfying different design criteria as deeds.…”
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Multiobjective Optimization of SWISS Rectifier by YAN Jingbin, SHEN Yunsen, LIU Si, WEI Jinxin, GAO Chongxi

“…Aiming at the performance problem of SWISS rectifier, a multiobjective optimization method based on NonDominated Sorting in Genetic AlgorithmsII (NSGAII) is adopted. …”
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Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization by H. Ye, H. Ye, Z. Niu, Z. Niu, D. Han, D. Han, X. Su, X. Su, W. Chen, W. Chen, G. Tu, G. Tu, T. Zhu, T. Zhu

“…<p>Aiming at the difficult problem of comprehensive scale design of the six-bar mechanism in engineering practice, kinematic and dynamic analysis and modeling of the Watt-II six-bar mechanism were carried out and combined with the particle swarm optimization (PSO) algorithm, the size optimization model of the Watt-II six-bar mechanism was established, and the size optimization of the Watt-II six-bar mechanism was completed. …”
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Optimizing root canal obturation by F. R. Ismailov, Z. S. Khabadze, Yu. A. Generalova, Y. A. Bakaev, Anna A. Litvinenko

“…Aim. Optimization of root canal filling.Materials and methods. …”
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Optimization of the Financial Instruments Portfolio by MĂDĂLINA ANTOANETA RĂDOI, ALEXANDRU OLTEANU

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MODELS FOR AGRICULTURAL PRODUCTION OPTIMIZATION by Sorin IONITESCU, Agatha POPESCU, Elena IONITESCU, Ene DUMITRU, Nicoleta-Luminita GUDANESCU

“…The paper aims to present models of agricultural production optimization as tools for managers to increase yield, crop structure, crop rotation, increased efficiency and profitability. …”
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Towards the Optimization of Apodized Resonators by Ana Valenzuela-Pérez, Carlos Collado, Jordi Mateu

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Gout: possibilities of treatment optimization by A. A. Klimenko, N. A. Shostak, D. A. Andriyashkina, A. A. Kondrashov

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Iron and Erythropoiesis – Optimizing the Link by Mirela TIGLIS, Ioana Cristina GRINTESCU, Tiberiu Paul NEAGU, Ioana Marina GRINTESCU

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Optimal Taxation of Consumption and Income by Mikail Pehlivan

“…The aim of this study is to reveal how the concepts of optimal consumption and income taxes are related, through a literature review, and to examine whether theoretical studies have influenced tax policies. …”
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Multimodal Optimized Treatment for Insomnia Framework (MOTIF): A Better Strategy for the Optimal Prescription of Hypnotics by Seockhoon Chung

“…For those who cannot sleep without medications, MOTIF supports the use of optimized minimal-dose of hypnotics. MOTIF aims to reduce unnecessary use of medications, strengthen patient–clinician collaboration, and improve long-term outcomes for patients with insomnia who do not respond to standard CBT-I approaches.…”
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Optimizing Vitamin D Levels: Bridging the Gap Between Theory and Practice for Optimal Health in Switzerland by Brida Caviezel, Laura Szczypior, Eleni Sourla, Titus Baston, Anja Kuzmitski, Kathrin Peschke, Issa Rasheed Fetian, Lukas Villiger

“…Through an analysis of the current guidelines and the pathophysiology of vitamin D, we aim to equip clinicians with the insights needed to navigate these complexities, optimize patient care and improve outcomes. …”
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Corn Leaf Disease Classification Optimization Using Resnet50 Architecture Utilizing Bayesian Optimization by Yahya Auliya Abdillah, Kusrini Kusrini

“…This research aims to optimize the classification of diseases on corn leaves using Convolutional Neural Network (CNN) architecture, ResNet50, combined with hyperparameter optimization techniques using Bayesian Optimization. …”
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