Suchergebnisse - automation algorithm configuration parameter tuning automation algorithm design

A Literature Survey on Offline Automatic Algorithm Configuration von Eryoldaş, Yasemin, Durmuşoglu, Alptekin

“… Because parameter tuning became commonly utilized in industry and research and there is a significant advancement in this area, a comprehensive review is an important requirement …”
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Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms von Bezerra, Leonardo C. T., Lopez-Ibanez, Manuel, Stutzle, Thomas

“… The motivation for studies of this latter type stem from the development of flexible software frameworks and the usage of automatic algorithm configuration methods to find novel algorithm designs …”
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Analysing differences between algorithm configurations through ablation von Fawcett, Chris, Hoos, Holger H.

“… Developers of high-performance algorithms for hard computational problems increasingly take advantage of automated parameter tuning and algorithm configuration tools, and consequently often create …”
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Bayesian reaction optimization as a tool for chemical synthesis von Shields, Benjamin J., Stevens, Jason, Li, Jun, Parasram, Marvin, Damani, Farhan, Alvarado, Jesus I. Martinez, Janey, Jacob M., Adams, Ryan P., Doyle, Abigail G.

“… . Likewise, parameter optimization is omnipresent in artificial intelligence, from tuning virtual personal assistants to training social media and product recommendation systems 2 …”
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Viscoelastic characterization of the human osteosarcoma cancer cell line MG-63 using a fractional-order zener model through automated algorithm design and configuration von Duque-Gimenez, Grecia C., Zambrano-Gutierrez, Daniel F., Rodriguez-Nieto, Maricela, Menchaca, Jorge Luis, Cruz-Duarte, Jorge M., Zárate-Triviño, Diana G., Avina-Cervantes, Juan Gabriel, Ortiz-Bayliss, José Carlos

“… This paper proposes an integrated framework that combines fractional modeling with automated algorithm design to fit force-relaxation data acquired through atomic force microscopy …”
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A DRL-Based Adaptive Control Design for a Class of Nonlinear Systems With Mismatched Disturbances: From Algorithm to Application von Dong, Xin, Zhang, Chuanlin, Chen, Hongtian, Zhang, Weidong

“… With the help of the self-learning ability delivered by the DRL algorithm, a robust adaptive control scheme is constructed for handling the challenge of parameter configuration difficulty …”
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Automatically improving the anytime behaviour of optimisation algorithms von López-Ibáñez, Manuel, Stützle, Thomas

“… •A method to automatically improve the anytime behaviour of optimisation algorithms …”
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Liquid metal microfluidic cooling system for high-efficiency thermal management via learning-based genetic algorithm von Wang, Yucheng, Bi, Antong, Chen, Kaiyu, Yu, Shenxin, Gao, Wanping, Zhang, Wenyi, Wu, Yuwan, Li, Zhiqiang, Wang, Shaoxi

“… of optimizing thermal performance through algorithm-guided parameter tuning. To validate the proposed method, four distinct microchannel configurations were designed, fabricated, and experimentally tested …”
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PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization von Geng, Hao, Chen, Tinghuan, Ma, Yuzhe, Zhu, Binwu, Yu, Bei

“… simulation process, such manual explorations for parameter configurations of physical design tools have become extremely laborious …”
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PSO-Pelican Arrhythmia Optimize: Revolutionizing Arrhythmia Detection via Automated Deep Learning Parameter Tuning von Jayanthi, Devi, Prasanna, Zakariah, Mohammed, Almazyad, Abdulaziz S.

“… ) designs for ECG arrhythmia pattern detection by providing a solid basis that includes chaotic initialization, a calibrated objective function for model assessment, and a balanced approach …”
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Modified value-function-approximation for synchronous policy iteration with single-critic configuration for nonlinear optimal control von Tang, Difan, Chen, Lei, Tian, Zhao Feng, Hu, Eric

“… Existing single-critic algorithms require stabilising critic tuning laws while eliminating actor tuning …”
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Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms von Bezerra, Leonardo C T, López-Ibáñez, Manuel, Stützle, Thomas

“… (i) parameter tuning through automatic configuration, (ii) a wide range of different setups, and (iii) various performance metrics …”
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Nigel-Mechatronic Design and Robust Sim2Real Control of an Overactuated Autonomous Vehicle von Samak, Chinmay V., Samak, Tanmay V., Velni, Javad M., Krovi, Venkat N.

“… Simulation to reality (sim2real) transfer from a dynamics and controls perspective usually involves re-tuning or adapting the designed algorithms to suit real-world operating conditions, which often violates the performance …”
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Semi-lazy probabilistic roadmap: a parameter-tuned, resilient and robust path planning method for manipulator robots von Akbaripour, Hossein, Masehian, Ellips

“… An indispensable feature of a modern intelligent robot is its capability to plan short and safe motions in the presence of obstacles in its workspace, which is …”
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Reconfigurability-optimal design of fixed-wing UAV based on structurally redundant sensor configuration and improved cuckoo search algorithm von Gu, XuPing, Shi, Xianjun

“… ), this study proposes a reconfigurable optimal design method based on a structurally redundant sensor configuration and an improved cuckoo search algorithm (ICSA …”
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Automation of gearbox design von Fürst, Marius, Götz, Joshua, Otto, Michael, Stahl, Karsten

“… In order to respond to a shortened development time of today’s transmission systems, the automation of certain steps in the design process is essential for ensuring an efficient development process …”
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Unified and Flexible Online Experimental Framework for Control Engineering Education von Lei, Zhongcheng, Zhou, Hong, Hu, Wenshan, Liu, Guo-Ping

“… all the functionalities such as web-based algorithm design, parameter tuning, visual configuration of customized …”
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Automated spray path planning based on Bayesian optimization and ant colony optimization von Peng, Ta-Jen, Chen, Peng-Jen, Su, Ting-Lun, Lin, Chung-Chieh

“… ) to effectively address these challenges. The proposed approach dynamically optimizes critical algorithm parameters to effectively enhance spray coverage and reduce loss function values …”
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Meta-learning-aided QoT estimator provisioning for a dynamic VNT configuration in optical networks von Chen, Xiaoliang, Ouyang, Zhenlin, Gao, Hanyu, Lin, Qunzhi, Zhu, Zuqing

“… ) that disclose only abstracted views of connectivity and resource availability to tenants. Conventional ML-based solutions rely on laborious human effort on model selection, parameter tuning, and so forth, which can cause prolonged model building time …”
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Evaluation of alternative design choices for evolutionary mutation testing by means of automated configuration von Delgado-Pérez, Pedro, Chicano, Francisco

“… Among the strategies conceived to reduce its cost, evolutionary mutation testing (EMT) has been revealed as a promising approach to select a subset of the whole set of mutants based on a genetic algorithm …”
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