A Fair Performance Comparison of Different Surrogate Optimization Strategies
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{6349,
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author = "Bernhard Werth and Erik Pitzer and
Michael Affenzeller",
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title = "A Fair Performance Comparison of Different Surrogate
Optimization Strategies",
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booktitle = "Computer Aided Systems Theory, EUROCAST 2017",
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year = "2017",
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editor = "Roberto Moreno-Diaz and Franz Pichler and
Alexis Quesada-Arencibia",
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volume = "10671",
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series = "Lecture Notes in Computer Science",
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pages = "408--415",
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address = "Las Palmas de Gran Canaria, Spain",
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month = feb,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Surrogate
models, Evolutionary algorithms, Black-box
optimization",
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isbn13 = "978-3-319-74718-7",
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URL = "https://link.springer.com/chapter/10.1007/978-3-319-74718-7_49",
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DOI = "doi:10.1007/978-3-319-74718-7_49",
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size = "8",
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abstract = "Much of the literature found on surrogate models
presents new approaches or algorithms trying to solve
black-box optimization problems with as few evaluations
as possible. The comparisons of these new ideas with
other algorithms are often very limited and constrained
to non-surrogate algorithms or algorithms following
very similar ideas as the presented ones. This work
aims to provide both an overview over the most
important general trends in surrogate assisted
optimization and a more wide-spanning comparison in a
fair environment by reimplementation within the same
software framework.",
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notes = "Published 2018?",
- }
Genetic Programming entries for
Bernhard Werth
Erik Pitzer
Michael Affenzeller
Citations