Parameter Meta-optimization of Metaheuristic Optimization Algorithms
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{2736,
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author = "Christoph Neumueller and Stefan Wagner and
Gabriel K. Kronberger and Michael Affenzeller",
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title = "Parameter Meta-optimization of Metaheuristic
Optimization Algorithms",
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booktitle = "Computer Aided Systems Theory, EUROCAST 2011",
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year = "2011",
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editor = "Roberto Moreno-Diaz and Franz Pichler and
Alexis Quesada-Arencibia",
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volume = "6927",
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series = "Lecture Notes in Computer Science",
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pages = "367--374",
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address = "Las Palmas de Gran Canaria, Spain",
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month = "6-11 " # feb,
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note = "Revised Selected Papers, Part I",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-27549-4",
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URL = "https://link.springer.com/chapter/10.1007/978-3-642-27549-4_47",
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DOI = "doi:10.1007/978-3-642-27549-4_47",
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abstract = "The quality of a heuristic optimization algorithm is
strongly dependent on its parameter values. Finding the
optimal parameter values is a laborious task which
requires expertise and knowledge about the algorithm,
its parameters and the problem. This paper describes,
how the optimization of parameters can be automated by
using another optimization algorithm on a meta-level.
To demonstrate this, a meta-optimization problem which
is algorithm independent and allows any kind of
algorithm on the meta- and base-level is implemented
for the open source optimization environment
HeuristicLab. Experimental results of the optimization
of a genetic algorithm for different sets of base-level
problems with different complexities are shown.",
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notes = "Josef Ressel Centre for Heuristic Optimization
Heureka!
Published 2012",
- }
Genetic Programming entries for
Christoph Neumueller
Stefan Wagner
Gabriel Kronberger
Michael Affenzeller
Citations