Application of differential evolutionary optimization methodology for parameter structure identification in groundwater modeling

Hydrogeology Journal ◽

10.1007/s10040-014-1172-7 ◽

2014 ◽

Vol 22 (8) ◽

pp. 1731-1748 ◽

Author(s):

Yung-Chia Chiu

Keyword(s):

Groundwater Modeling ◽

Evolutionary Optimization ◽

Structure Identification ◽

Optimization Methodology

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Optimal observation network design for parameter structure identification in groundwater modeling

Water Resources Research ◽

10.1029/2004wr003514 ◽

2005 ◽

Vol 41 (3) ◽

Author(s):

Li-Fang Chang ◽

Ne-Zheng Sun ◽

William W.-G. Yeh

Keyword(s):

Network Design ◽

Groundwater Modeling ◽

Structure Identification ◽

Optimal Observation ◽

Observation Network

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Parameter Structure Identification in Groundwater Modeling: A Universal Parameterization Method

World Water & Environmental Resources Congress 2003 ◽

10.1061/40685(2003)213 ◽

2003 ◽

Author(s):

Frank Tsung-Chen Tsai ◽

Ne-Zheng Sun ◽

William W.-G. Yeh

Keyword(s):

Groundwater Modeling ◽

Structure Identification ◽

Parameterization Method

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Global-local optimization for parameter structure identification in three-dimensional groundwater modeling

Water Resources Research ◽

10.1029/2001wr001135 ◽

2003 ◽

Vol 39 (2) ◽

Author(s):

Frank T.-C. Tsai ◽

Ne-Zheng Sun ◽

William W.-G. Yeh

Keyword(s):

Groundwater Modeling ◽

Three Dimensional ◽

Local Optimization ◽

Structure Identification

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An Evolutionary Optimization Methodology for Analyzing Breast Cancer Gene Sequences Using MSAPSO and MSADE

Learning and Analytics in Intelligent Systems - Advances in Computational and Bio-Engineering ◽

10.1007/978-3-030-46939-9_2 ◽

2020 ◽

pp. 9-24

Author(s):

K. Lohitha Lakshmi ◽

P. Bhargavi ◽

S. Jyothi

Keyword(s):

Breast Cancer ◽

Evolutionary Optimization ◽

Cancer Gene ◽

Gene Sequences ◽

Optimization Methodology ◽

Breast Cancer Gene

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Neuro-evolutionary optimization methodology applied to the synthesis process of ash based adsorbents

Journal of Industrial and Engineering Chemistry ◽

10.1016/j.jiec.2013.05.020 ◽

2014 ◽

Vol 20 (2) ◽

pp. 597-604 ◽

Author(s):

Silvia Curteanu ◽

Gabriela Buema ◽

Ciprian George Piuleac ◽

Daniel Mircea Sutiman ◽

Maria Harja

Keyword(s):

Evolutionary Optimization ◽

Synthesis Process ◽

Optimization Methodology

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An evolutionary optimization methodology of a low-power programmable Cochlear Implant

2015 38th International Conference on Telecommunications and Signal Processing (TSP) ◽

10.1109/tsp.2015.7296283 ◽

2015 ◽

Author(s):

Paul Farago ◽

Claudia Farago ◽

Robert Groza ◽

Sorin Hintea

Keyword(s):

Cochlear Implant ◽

Low Power ◽

Evolutionary Optimization ◽

Optimization Methodology

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An integrated optimization algorithm for parameter structure identification in groundwater modeling

Advances in Water Resources ◽

10.1016/j.advwatres.2007.11.007 ◽

2008 ◽

Vol 31 (3) ◽

pp. 545-560 ◽

Author(s):

Chung-Che Tan ◽

Ching-Pin Tung ◽

Chu-Hui Chen ◽

William W.-G. Yeh

Keyword(s):

Optimization Algorithm ◽

Groundwater Modeling ◽

Structure Identification ◽

Integrated Optimization

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MEVOP: Statistical and evolutionary optimization methodology based on D-optimal design and response surface methodology

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)33871-5 ◽

2001 ◽

Vol 34 (25) ◽

pp. 487-492

Author(s):

Young-Hwan Chu ◽

Chonghun Han

Keyword(s):

Response Surface Methodology ◽

Optimal Design ◽

Response Surface ◽

Evolutionary Optimization ◽

Optimization Methodology

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"Coupled inverse problems in groundwater modeling: 2. Identifiability and experimental design

Water Resources Research ◽

10.1029/90wr00959 ◽

1990 ◽

Vol 26 (10) ◽

pp. 2527-2540 ◽

Author(s):

Ne-Zheng Sun

Keyword(s):

Experimental Design ◽

Inverse Problems ◽

Groundwater Modeling

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Groundwater Modeling by the Finite Element Method

10.1029/wm013 ◽

1989 ◽

Author(s):

Jonathan Istok

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Groundwater Modeling ◽

The Finite Element Method ◽

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