Space Mapping: The State of The Art

John W. Bandler; Qingsha S. Cheng; Sameh A. Dakroury; Ahmed S. Mohamed; Mohamed H. Bakr; Kaj Madsen; Jacob Søndergaard

Space Mapping: The State of The Art

John W. Bandler^*
, Qingsha S. Cheng
, Sameh A. Dakroury
, Ahmed S. Mohamed
, Mohamed H. Bakr
, Kaj Madsen
, Jacob Søndergaard

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

We review the Space Mapping (SM) technique and the SM-based surrogate (modeling) concept and their applications in engineering design optimization. The aim of SM is to achieve a satisfactory solution with a minimal number of computationally expensive "fine" model evaluations. SM procedures iteratively update and optimize surrogates based on a fast physically-based "coarse" model. Parameter extraction is an essential SM subproblem. It is used to align the surrogate (enhanced coarse model) with the fine model. Novel physical illustrations are presented, including the cheese cutting problem and wedge cutting problem. Significant practical applications are reviewed.

Original language	English
Pages	951-956
Number of pages	6
State	Published - 2003
Externally published	Yes
Event	2003 SMBO/IEEE MTT-S International Microwave and Optoelectronics Conference - IMOC 2003 - Foz do Iguacu, Brazil Duration: 20 Sep 2003 → 23 Sep 2003

Conference

Conference	2003 SMBO/IEEE MTT-S International Microwave and Optoelectronics Conference - IMOC 2003
Country/Territory	Brazil
City	Foz do Iguacu
Period	20/09/03 → 23/09/03

Keywords

CAD
Design automation
EM simulation
Filter design
Optimization
Parameter extraction
Space mapping

ASJC Scopus subject areas

Condensed Matter Physics
Electrical and Electronic Engineering

Cite this

@conference{8cd740df17094e859510cb2896f1472e,

title = "Space Mapping: The State of The Art",

abstract = "We review the Space Mapping (SM) technique and the SM-based surrogate (modeling) concept and their applications in engineering design optimization. The aim of SM is to achieve a satisfactory solution with a minimal number of computationally expensive {"}fine{"} model evaluations. SM procedures iteratively update and optimize surrogates based on a fast physically-based {"}coarse{"} model. Parameter extraction is an essential SM subproblem. It is used to align the surrogate (enhanced coarse model) with the fine model. Novel physical illustrations are presented, including the cheese cutting problem and wedge cutting problem. Significant practical applications are reviewed.",

keywords = "CAD, Design automation, EM simulation, Filter design, Optimization, Parameter extraction, Space mapping",

author = "Bandler, \{John W.\} and Cheng, \{Qingsha S.\} and Dakroury, \{Sameh A.\} and Mohamed, \{Ahmed S.\} and Bakr, \{Mohamed H.\} and Kaj Madsen and Jacob S{\o}ndergaard",

year = "2003",

language = "English",

pages = "951--956",

note = "2003 SMBO/IEEE MTT-S International Microwave and Optoelectronics Conference - IMOC 2003 ; Conference date: 20-09-2003 Through 23-09-2003",

}

TY - CONF

T1 - Space Mapping

T2 - 2003 SMBO/IEEE MTT-S International Microwave and Optoelectronics Conference - IMOC 2003

AU - Bandler, John W.

AU - Cheng, Qingsha S.

AU - Dakroury, Sameh A.

AU - Mohamed, Ahmed S.

AU - Bakr, Mohamed H.

AU - Madsen, Kaj

AU - Søndergaard, Jacob

PY - 2003

Y1 - 2003

N2 - We review the Space Mapping (SM) technique and the SM-based surrogate (modeling) concept and their applications in engineering design optimization. The aim of SM is to achieve a satisfactory solution with a minimal number of computationally expensive "fine" model evaluations. SM procedures iteratively update and optimize surrogates based on a fast physically-based "coarse" model. Parameter extraction is an essential SM subproblem. It is used to align the surrogate (enhanced coarse model) with the fine model. Novel physical illustrations are presented, including the cheese cutting problem and wedge cutting problem. Significant practical applications are reviewed.

AB - We review the Space Mapping (SM) technique and the SM-based surrogate (modeling) concept and their applications in engineering design optimization. The aim of SM is to achieve a satisfactory solution with a minimal number of computationally expensive "fine" model evaluations. SM procedures iteratively update and optimize surrogates based on a fast physically-based "coarse" model. Parameter extraction is an essential SM subproblem. It is used to align the surrogate (enhanced coarse model) with the fine model. Novel physical illustrations are presented, including the cheese cutting problem and wedge cutting problem. Significant practical applications are reviewed.

KW - CAD

KW - Design automation

KW - EM simulation

KW - Filter design

KW - Optimization

KW - Parameter extraction

KW - Space mapping

UR - https://www.scopus.com/pages/publications/1642367562

M3 - Paper

AN - SCOPUS:1642367562

SP - 951

EP - 956

Y2 - 20 September 2003 through 23 September 2003

ER -