Results 11 to 20 of about 149,415 (266)
A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
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An automated system for program parameters fine tuning in the cloud [PDF]
The paper presents a software system aimed at finding best (in some sense) parameters of an algorithm. The system handles both discrete and continuous parameters and employs massive parallelism offered by public clouds.
S. A. Smirnov, A. S. Tarasov
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Research on application of ZigBee technology in PID controller parameter tuning
In view of problem of traditional PID parameter tuning such as installation and wiring of cable are quite cumbersome,operation lacks flexibility, the paper proposed to apply ZigBee technology to PID parameter tuning.
LIU Xianfeng +2 more
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Stability, convergence, and robustness of deterministic multivariable self-tuning control
Self-tuning control is an important approach to intelligent control system design because this kind of control system uses online parameter estimation (or learning) to derive the model of the plant, and as a result of model parameter estimation (or ...
ZHAO Li, ZHANG Wei-cun, CHU Tian-guang
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ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace
This paper introduces acviz, a tool that helps to analyze the automatic configuration of algorithms with irace. It provides a visual representation of the configuration process, allowing users to extract useful information, e.g.
Marcelo de Souza +3 more
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For the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable ...
CHANG Sheng, WAN Yubin, JIANG Tao
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Hierarchical Collaborative Hyper-Parameter Tuning
Hyper-parameter Tuning is among the most critical stages in building machine learning solutions. This paper demonstrates how multi-agent systems can be utilized to develop a distributed technique for determining near-optimal values for any arbitrary set of hyper-parameters in a machine learning model.
Ahmad Esmaeili +2 more
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Data integration by multi-tuning parameter elastic net regression
Background To integrate molecular features from multiple high-throughput platforms in prediction, a regression model that penalizes features from all platforms equally is commonly used.
Jie Liu +3 more
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On the generality of parameter tuning in evolutionary planning [PDF]
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has several parameters that need to be tuned, and the already excellent experimental results demonstrated by DaE on benchmarks from the International Planning Competition, at the level ...
Bibai, Jacques +3 more
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Self-tuning method for a linear active disturbance rejection controller
This paper introduces a parameter self-tuning algorithm based on dynamic response time series data mining to solve the parameter self-tuning difficulty of a linear active disturbance rejection controller(LADRC).
LI Yang, WANG Jing, ZHANG Yong-jun
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