Traffic simulation optimization considering driving styles by Yunyang Shi, Tong Wu, Tan Guo, Jinbiao Huo, Ziyuan Gu, Yifan Dai, Zhiyuan Liu

“…The expected speed is a critical parameter that characterizes behaviors of vehicles in most simulation models, which is influenced by road traffic conditions and the driving characteristics of different drivers. Most existing parameter calibration methods typically concentrate on micro-level parameters such as time headway and lane change motivation, while overlooking the calibration of vehicle expected speeds in consideration of driver behavior habits. …”
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An Adapted Ant Colony Optimization for Feature Selection by Duygu Yilmaz Eroglu, Umut Akcan

“…Initially, the algorithm was compared with fifteen different algorithms, and subsequently benchmarked against three selected methods. …”
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Fully Parametric Optimization Designs of Wing Components by Zhendong Hu, Ju Qiu, Fa Zhang

“…An optimization technique called shape-linked optimization, which is different from the traditional optimization method, is introduced in this paper. …”
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Implementation of Genetic Algorithms for Optimization of Transportation Problem by Soobia Saeed

“…This paper discusses the impact of genetic algorithms on two different types of systems environments i.e., Single-Processor Environment Systems and Multi-Processor Environment Systems, for solving the transportation problem and found the best optimal solution time of both systems.   …”
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Finite Element Simulation and Optimization of Reaming Process by YUE Caixu, HU Desheng, ZHANG Anshan, LIU Xianli, LIU Zhibo, CHEN Zhitao

“…Firstly, the secondary development of blade and workpiece geometric parameter modeling is carried out through Python language; secondly, single factor experiment method is used to analyze the influence trend of different blade geometric parameters on cutting force and cutting temperature; finally, the orthogonal experiment method and response surface method are combined to establish a function with cutting force and cutting temperature as the objective is obtained, and the optimal solution of insert geometric parameters is obtained through the Fmincon optimization model. …”
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A Crossover Bacterial Foraging Optimization Algorithm by Rutuparna Panda, Manoj Kumar Naik

“…This can be used for improvising the evaluation of optimal objective function values. The idea of using crossover mechanism is to search nearby locations by offspring (50 percent of bacteria), because they are randomly produced at different locations. …”
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Analysis and optimization of pulse dynamics for magnetic stimulation. by Stefan M Goetz, Cong Nam Truong, Manuel G Gerhofer, Angel V Peterchev, Hans-Georg Herzog, Thomas Weyh

“…The energy loss drives power consumption and heating, which are the dominating limitations of magnetic stimulation. The optimization approach is based on a hybrid global-local method. …”
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Melody Feature Clustering and Optimization for Query-by-humming by WANG Ning, CHEN Chen, CHEN De-yun, HE Yong-jun

“…Query-by-humming is an important branch of audio retrieval, and it can provide users with a new and convenient experience.During the retrieval process, since there are unignorable differences between different humming of the same song, it is difficult to obtain ideal results by accurate matching of the melody features.To solve this problem, the optimized initial clustering center k-means (OICC k-means) is introduced in the query-by-humming system. …”
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Benchmarking the optimization of optical machines with the planted solutions by Nikita Stroev, Natalia G. Berloff, Nir Davidson

“…Additionally, the generated problems reveal properties such as the easy-hard-easy complexity transition and complex solution cluster structures. This method offers a promising platform for analyzing and understanding the behavior of physical hardware and its simulations, contributing to future advancements in optimization technologies.…”
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Optimizing Antibody Concentrations for Immunohistochemistry in Neurotrauma Research by Shriya Singh

“…Method: IHC was conducted on six different antigens, with one control. …”
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A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method by Yulin Shangguan, Xiaoxiao Min, Nan Wang, Cheng Tong, Zhou Shi

“…Although substantial efforts have been devoted to downscale SM utilizing multiple soil moisture indices (SMIs) or diverse machine learning (ML) methods, the potentials of different SMIs and ML approaches in SM downscaling on the complex plateau remain unclear, and there is still a necessity to obtain an accurate, long-term, high-resolution and seamless SM data over the QTP. …”
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Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…Then, we stated some basics of the transportation as an optimization problem. As the transportation activity is a hard optimization problem, two solution approaches are to be considered: exact and approximate methods. …”
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Optimized protein extraction for quantitative proteomics of yeasts. by Tobias von der Haar

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Materials design with target-oriented Bayesian optimization by Yuan Tian, Tongtong Li, Jianbo Pang, Yumei Zhou, Dezhen Xue, Xiangdong Ding, Turab Lookman

“…Our method provides a solution tailored for optimizing target-specific properties, facilitating the accelerated development of materials with predefined properties.…”
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Optimization of helicopter and UAV coordinated SAR time by Ming Zhang, Ying Huo, Hanzhi Zhang, Jiale Duan, Faqiang Wen

“…This finding also demonstrates that the proposed method can adapt to SAR tasks in a larger scale. The proposed method provides references to study helicopter-UAV coordinated SAR problems.…”
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Optimizing Small Wind Turbine Blades: A BEMT Approach Optimizing Small Wind Turbine Blades: A BEMT Approach by Tshepo Sithole, Lukas W. Snyman, Vasudeva R. Veeredhi, Thembelani Sithebe

“…This paper explores the optimization of small wind turbine blades, focusing on the design and utilization of theoretical algorithms such as computational fluid dynamics (CFD), blade elementary method (BEM) theory, and the vortex wake system (VWS). …”
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Optimization of Ultrasonic Rehydration Conditions of Dried Tomatoes by İsa Hazar, Aslıhan Demirdöven

“…Rehydration conditions were optimized by Response Surface Method (RSM). The optimization of ultrasonic (37 kHz) rehydration conditions were performed with independent variables at different temperatures (20-80°C), time (2-60 min) and water ratios (1/50-1/100 g/g water), and rehydration ability, color a* (redness) and texture values were selected as responses (dependent variable). …”
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Metaheuristic Algorithms for Optimization: A Brief Review by Vinita Tomar, Mamta Bansal, Pooja Singh

“…While conventional software engineering methods may not always be effective in resolving software issues, mathematical optimization using metaheuristics can offer a solution. …”
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Edge-preserving filter with adaptive gradient optimization by Wanshu Fan, Zhixun Su, Hongyan Wang, Nannan Li, Xuan Wang

“…Therefore, in this article, we propose an edge-preserving filter with adaptive L 0 gradient optimization. Different from original L 0 gradient minimization, we introduce an adaptive L 0 regularization. …”
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Optimization of Fuzzy Control for Magnetorheological Damping Structures by Jianguo Ding, Xin Sun, Lifeng Zhang, Jiaoyan Xie

“…The results show that (1) the fitness values of the convergence of the two types of optimized fuzzy control are close. The speed of the convergence of the fuzzy control optimized by PSO is faster than that of the fuzzy control optimized by GA, but its running speed is slower. (2) Comparing the acceleration and displacement of the structure under the conditions of three different seismic waves, the effect of the optimized fuzzy control is better than that of the human experience fuzzy control and GA-FLC.…”
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