Global Dynamic Operation

Global Dynamic Path Planning Fusion Algorithm Combining Jump-A* Algorithm and Dynamic Window Approach

IEEE Access ◽

10.1109/access.2021.3052865 ◽

2021 ◽

Vol 9 ◽

pp. 19632-19638

Author(s):

Lisang Liu ◽

Jinxin Yao ◽

Dongwei He ◽

Jian Chen ◽

Jing Huang ◽

...

Keyword(s):

Path Planning ◽

A Algorithm ◽

Fusion Algorithm ◽

Global Dynamic ◽

Dynamic Path Planning ◽

Dynamic Path ◽

Window Approach

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Two-stage stochastic programming-based capacity optimization for a high-temperature electrolysis system considering dynamic operation strategies

Journal of Energy Storage ◽

10.1016/j.est.2021.102733 ◽

2021 ◽

Vol 40 ◽

pp. 102733

Author(s):

Ruomei Qi ◽

Yiwei Qiu ◽

Jin Lin ◽

Yonghua Song ◽

Wenying Li ◽

...

Keyword(s):

High Temperature ◽

Stochastic Programming ◽

Capacity Optimization ◽

Two Stage ◽

Dynamic Operation ◽

Electrolysis System ◽

High Temperature Electrolysis

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A Short Review on Ni‐Catalyzed Methanation of CO 2 : Reaction Mechanism, Catalyst Deactivation, Dynamic Operation

Chemie Ingenieur Technik ◽

10.1002/cite.202100049 ◽

2021 ◽

Author(s):

Peter Strucks ◽

Luisa Failing ◽

Stefan Kaluza

Keyword(s):

Reaction Mechanism ◽

Catalyst Deactivation ◽

Short Review ◽

Dynamic Operation

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Global Dynamic Optimization for Parameter Estimation in Chemical Kinetics

The Journal of Physical Chemistry A ◽

10.1021/jp0548873 ◽

2006 ◽

Vol 110 (3) ◽

pp. 971-976 ◽

Cited By ~ 62

Author(s):

Adam B. Singer ◽

James W. Taylor ◽

Paul I. Barton ◽

William H. Green

Keyword(s):

Parameter Estimation ◽

Chemical Kinetics ◽

Dynamic Optimization ◽

Global Dynamic

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Relationship between MEG global dynamic functional network connectivity measures and symptoms in schizophrenia

Schizophrenia Research ◽

10.1016/j.schres.2019.05.007 ◽

2019 ◽

Vol 209 ◽

pp. 129-134 ◽

Cited By ~ 3

Author(s):

L. Sanfratello ◽

J.M. Houck ◽

V.D. Calhoun

Keyword(s):

Network Connectivity ◽

Functional Network ◽

Functional Network Connectivity ◽

Global Dynamic ◽

Dynamic Functional Network Connectivity

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Comparisons of MVAC and MVDC Systems in Dynamic Operation, Fault Protection and Post-Fault Restoration

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2019.8927251 ◽

2019 ◽

Cited By ~ 1

Author(s):

Gen Li ◽

Lu Zhang ◽

Tibin Joseph ◽

Jun Liang ◽

Gangui Yan

Keyword(s):

Dynamic Operation ◽

Fault Protection ◽

Fault Restoration

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A UMDA-Based Discretization Method for Continuous Attributes

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.1834 ◽

2011 ◽

Vol 403-408 ◽

pp. 1834-1838

Author(s):

Jing Zhao ◽

Chong Zhao Han ◽

Bin Wei ◽

De Qiang Han

Keyword(s):

Machine Learning ◽

Data Mining ◽

Evolutionary Algorithms ◽

Marginal Distribution ◽

Convergence Speed ◽

Fast Convergence ◽

Experimental Results ◽

Discretization Method ◽

Bottom Up ◽

Global Dynamic

Discretization of continuous attributes have played an important role in machine learning and data mining. They can not only improve the performance of the classifier, but also reduce the space of the storage. Univariate Marginal Distribution Algorithm is a modified Evolutionary Algorithms, which has some advantages over classical Evolutionary Algorithms such as the fast convergence speed and few parameters need to be tuned. In this paper, we proposed a bottom-up, global, dynamic, and supervised discretization method on the basis of Univariate Marginal Distribution Algorithm.The experimental results showed that the proposed method could effectively improve the accuracy of classifier.

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