Global Optimization Using a Multi-point Type Discrete Inertial Time-varying Model

Takashi OKAMOTO; Eitaro AIYOSHI; Kenichiro HAMADA

doi:10.9746/sicetr.46.642

Global Optimization Using a Multi-point Type Discrete Inertial Time-varying Model

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr.46.642 ◽

2010 ◽

Vol 46 (11) ◽

pp. 642-650

Author(s):

Takashi OKAMOTO ◽

Eitaro AIYOSHI ◽

Kenichiro HAMADA

Keyword(s):

Global Optimization ◽

Time Varying ◽

Point Type ◽

Inertial Time

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Analysis of time-varying cellular neural networks for quadratic global optimization

International Journal of Circuit Theory and Applications ◽

10.1002/(sici)1097-007x(199803/04)26:2<109::aid-cta994>3.0.co;2-o ◽

1998 ◽

Vol 26 (2) ◽

pp. 109-126 ◽

Cited By ~ 6

Author(s):

M. Gilli ◽

P. P. Civalleri ◽

T. Roska ◽

L. O. Chua

Keyword(s):

Neural Networks ◽

Global Optimization ◽

Cellular Neural Networks ◽

Time Varying

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Time-varying hyperparameter strategies for radial basis function surrogate-based global optimization algorithm

2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ◽

10.1109/ieem.2017.8290039 ◽

2017 ◽

Cited By ~ 2

Author(s):

P. Jiang ◽

C. A. Shoemaker ◽

X. Liu

Keyword(s):

Global Optimization ◽

Radial Basis Function ◽

Optimization Algorithm ◽

Basis Function ◽

Time Varying ◽

Global Optimization Algorithm ◽

Radial Basis

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Robust optimal control problem with multiple characteristic time points in the objective for a batch nonlinear time-varying process using parallel global optimization

Optimization and Engineering ◽

10.1007/s11081-019-09472-z ◽

2020 ◽

Vol 21 (3) ◽

pp. 905-937 ◽

Cited By ~ 1

Author(s):

Jinlong Yuan ◽

Jun Xie ◽

Ming Huang ◽

Houming Fan ◽

Enmin Feng ◽

...

Keyword(s):

Optimal Control ◽

Global Optimization ◽

Optimal Control Problem ◽

Control Problem ◽

Characteristic Time ◽

Time Varying ◽

Multiple Characteristic ◽

Robust Optimal Control ◽

Time Points

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Global optimization using a multi-point type quasi-chaotic optimization method with the simultaneous perturbation gradient approximation

2010 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2010.5641854 ◽

2010 ◽

Cited By ~ 3

Author(s):

Takashi Okamoto ◽

Hironori Hirata

Keyword(s):

Global Optimization ◽

Optimization Method ◽

Point Type

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Global optimization through time-varying cellular neural networks

1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96) ◽

10.1109/cnna.1996.566610 ◽

2002 ◽

Cited By ~ 1

Author(s):

M. Gilli ◽

P.P. Civalleri ◽

T. Roska ◽

L.O. Chua

Keyword(s):

Neural Networks ◽

Global Optimization ◽

Cellular Neural Networks ◽

Time Varying

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Adaptative Model of the Human Operator in a Time-Varying Control Task

PsycEXTRA Dataset ◽

10.1037/e506122009-008 ◽

1966 ◽

Author(s):

E. E. Gould ◽

K. S. Fu

Keyword(s):

Human Operator ◽

Time Varying ◽

Control Task

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