Suchergebnisse - automatic algorithm configuration parameter tuning automatic algorithm design*

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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Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution von Tang, Ke, Liu, Shengcai, Yang, Peng, Yao, Xin

“… A typical way to achieve good generalization is to learn a model from vast data. In the context of heuristic search, such a paradigm could be implemented as configuring the parameters of a parallel algorithm portfolio (PAP …”
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A Literature Survey on Offline Automatic Algorithm Configuration von Eryoldaş, Yasemin, Durmuşoglu, Alptekin

“… In this paper, we will briefly explain the automatic algorithm configuration problem and then survey …”
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Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems von Tapia-Avitia, José M., Cruz-Duarte, Jorge M., Amaya, Ivan, Ortiz-Bayliss, José Carlos, Terashima-Marin, Hugo, Pillay, Nelishia

“… Then, instead of proposing MHs based on what already exists in nature, it is better to follow a standard model for the automatic metaheuristic design by employing simple heuristics …”
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The irace package: Iterated racing for automatic algorithm configuration von López-Ibáñez, Manuel, Dubois-Lacoste, Jérémie, Pérez Cáceres, Leslie, Birattari, Mauro, Stützle, Thomas G

“… The immediate goal of automatic algorithm configuration is to find, automatically, the best parameter settings of an optimizer …”
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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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Automatic configuration of the Cassandra database using irace von Silva-Muñoz, Moisés, Franzin, Alberto, Bersini, Hugues

“… While this task has traditionally been performed manually, in the last years several methods have been proposed to automatically find the best parameter configuration for a database …”
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Enhancing Voltage Regulation in Synchronous Generators: A Novel Approach With Fractional-Order PID Controllers and Wound Healing Algorithm von Cinar, Mehmet

“… The developed wound healing algorithm (WHA) was used to estimate the tuning parameters of the FOPID controller to achieve …”
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Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem von Zhang, Biao, Meng, Lei-lei, Lu, Chao, Han, Yu-yan, Sang, Hong-yan

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Multi-objective-optimization-based control parameters auto-tuning for aerial manipulators von Zhou, Xu, Zhang, Xiaoli

“… However, current controllers still employ manual parameters tuning methods, which is mostly limited to a specific setting like a fixed aerial manipulator configuration or an unchanged environment …”
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Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming von Zhou, Yong, Yang, Jian-jun, Huang, Zhuang

“… ). After careful parameter tuning, a surrogate simulation model is used to evaluate the fitness of evolved scheduling policies (SP …”
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Design of a Two-Level Controller for Load Frequency Control in the Presence of Wind Farms and Battery Energy Storage System Based on VIC von Chen, Libing, Salem, Mohamed, Ben Hamad, Khlid, Prabaharan, Natarajan, Ueda, Soichiro, Senjyu, Tomonobu

“… ) is used to optimize the parameters of the PI controller. This control configuration is designed as a dual structure …”
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Resilient PIDA Control Design Based Frequency Regulation of Interconnected Time-Delayed Microgrid Under Cyber-Attacks von Kumar, Mahendra

“… PIDA control design is carried-out using a recently develop supply demand optimization algorithm (SDOA …”
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Dynamic instance sampling for multi-objective automatic algorithm configuration von Li, Yuchen, Wang, Handing

“… Multi-objective automatic algorithm configuration alleviates the tedious parameter tuning for users by optimizing both the performance and efficiency of the target algorithm …”
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Capping methods for the automatic configuration of optimization algorithms von de Souza, Marcelo, Ritt, Marcus, López-Ibáñez, Manuel

“… Automatic configuration techniques are widely and successfully used to find good parameter settings for optimization algorithms …”
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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

“… manipulators in charge of automatic picking and placing, welding, painting, etc. On the other hand, collision-free motion planning of serial manipulators becomes …”
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A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters von Bellamkonda Sathyanarayanan, Vidhyasagar, Jeevarathinam, Raja Paul Perinbam, Marudhamuthu, Krishnamurthy

“… Many applications utilize big data platforms, namely Spark, Hadoop, Amazon web services, and so on, since these platforms use several parameters for tuning that further enhance the operating performances …”
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Auto Deep Spiking Neural Network Design Based on an Evolutionary Membrane Algorithm von Liu, Chuang, Wang, Haojie

“… This algorithm automates the construction and design of promising network models, thereby reducing reliance on manual tuning …”
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Multipass cell design with the random walk and gradient descent optimization algorithms von Kong, Rong, Liu, Peng, Zhou, Xin

“… First, a strategy based on the random walk (RW) algorithm is implemented for global exploration to determine the parameters of the target MPC configuration and accelerate the design process …”
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DARK: Deep automatic Redis knobs tuning system depending on the persistence method von Seo, Juyeon, Kim, Kyeonghun, Seo, Sangmin, Park, Sanghyun

“… to the diversity of knobs and the wide range of values that each parameter could have. In this study, we propose the DARK tuning system to improve the performance of Redis, an in-memory key-value store …”
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