Results 11 to 20 of about 149,415 (266)

A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2014
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
doaj   +1 more source

An automated system for program parameters fine tuning in the cloud [PDF]

open access: yesКомпьютерные исследования и моделирование, 2015
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
doaj   +1 more source

Research on application of ZigBee technology in PID controller parameter tuning

open access: yesGong-kuang zidonghua, 2016
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
doaj   +1 more source

Stability, convergence, and robustness of deterministic multivariable self-tuning control

open access: yes工程科学学报, 2019
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
doaj   +1 more source

ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace

open access: yesOperations Research Perspectives, 2021
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
doaj   +1 more source

Self-optimization of Wind Turbine Variable-pitch Control Parameters Based on Adaptive Genetic Algorithm

open access: yesKongzhi Yu Xinxi Jishu
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
doaj   +3 more sources

Hierarchical Collaborative Hyper-Parameter Tuning

open access: yes, 2022
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
openaire   +2 more sources

Data integration by multi-tuning parameter elastic net regression

open access: yesBMC Bioinformatics, 2018
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
doaj   +1 more source

On the generality of parameter tuning in evolutionary planning [PDF]

open access: yesProceedings of the 12th annual conference on Genetic and evolutionary computation, 2010
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
openaire   +2 more sources

Self-tuning method for a linear active disturbance rejection controller

open access: yes工程科学学报, 2015
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
doaj   +1 more source

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