Space mapping: the state of the art

By John W. Bandler, Qingsha S. Cheng, S. Dakroury, A. Mohamed, Mohamed H. Bakr, Kaj Madsen, Jacob Søndergaard. IEEE transactions on microwave theory and techniques, 2004

1,089 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/65e6298c490b9c08b46b056767c3fdb37d57a62b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. M. Giselle Fernández-Godino
2. Donald H. Burn
3. Timothy W. Simpson
4. Andy J. Keane
5. Chanyoung Park
6. Raphael T. Haftka
7. Bryan Tolson
8. Alexander I. J. Forrester

In Computational Theory and Mathematics

1. Felipe Antonio Chegury Viana
2. Saman Razavi
3. Donald H. Burn
4. Bryan Tolson
5. Raphael T. Haftka
6. Alexander I. J. Forrester
7. Vladimir Balabanov
8. V. Toropov

In Mechanical Engineering

1. Andy J. Keane
2. Alexander I. J. Forrester
3. Donald H. Burn
4. Timothy W. Simpson
5. Bryan Tolson
6. Saman Razavi

Citations in the corpus

• Recent advances in surrogate-based optimization (2009, methodology): “Instead of using Zc or Zd, which are output correction processes, we can employ an input correction, known as space mapping [4].”
• Review of multi-fidelity models (2016, methodology): “Some standard techniques used are calibration, bias correction, space mapping and data transformation [181, 21].”
• Review of surrogate modeling in water resources (2012, background): “Many approaches have been proposed to address this problem of nonuniqueness [Bakr et al., 1999; Bandler et al., 1996; Bandler et al., 2004].”
• Multiobjective Aerodynamic Optimization by Variable-Fidelity Models and Response Surface Surrogates (2016, background): “model response (outputlike SM [26]) or change the overall model properties (implicitlike SM [27,28]).”
• Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - Or Not (2008, methodology): “This technique has been used extensively in microwave circuit design, see the review by Bandler et al., 121 with fewer applications in other engineering fields.”
• Improving variable-fidelity modelling by exploring global design space and radial basis function networks for aerofoil design (2015, methodology): “Another method called space mapping shown by Bandler et al. (2004) implements correction of input parameters rather than output.”
• Space-mapping-based interpolation for engineering optimization (2006, methodology): “A variety of SM-based surrogate models have been used and described in the literature [1]–[5].”