Scalarizing cost‐effective multi‐objective optimization algorithms made possible with kriging
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Publication:3534585
DOI10.1108/03321640810878243zbMath1206.78094OpenAlexW2057565175MaRDI QIDQ3534585
Publication date: 3 November 2008
Published in: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1108/03321640810878243
Multi-objective and goal programming (90C29) Optimization problems in optics and electromagnetic theory (78M50)
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Cites Work
- On the design of optimization strategies based on global response surface approximation models
- An informational approach to the global optimization of expensive-to-evaluate functions
- Efficient global optimization of expensive black-box functions
- A taxonomy of global optimization methods based on response surfaces
- A hybrid one‐then‐two stage algorithm for computationally expensive electromagnetic design optimization
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