Detail publikace

ACCELERATED BAYESIAN OPTIMIZATION ALGORITHMS FOR ADVANCED HYPERGRAPH PARTITIONING, accepted paper

SCHWARZ, J.; OČENÁŠEK, J. ACCELERATED BAYESIAN OPTIMIZATION ALGORITHMS FOR ADVANCED HYPERGRAPH PARTITIONING, accepted paper. Procceedings of MENDEL 2003. Brno: Faculty of Mechanical Engineering BUT, 2003. p. 133-141. ISBN: 80-214-2411-7.
Název česky
Akcelerované Bayesovské optimalizační algoritmy pro pokročilé dekompozice hypergrafů
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Schwarz Josef, doc. Ing., CSc. (CK-SZZ)
Očenášek Jiří, Ing.
Klíčová slova

Akcelerované Bayesovské optimalizační algoritmy

Abstrakt

The paper summarizes our recent work on the design, analysis andapplications of the Bayesian optimization algorithm (BOA) and itsadvanced accelerated variants for solving complex - sometimesNP-complete - combinatorial optimization problems from circuit design.We review the methods for accelerating BOA for hypergraph-partitioningproblem. The first method accelerates the convergence of sequential BOAby utilizing specific knowledge about the optimized problem and thesecond method is based on the parallel construction of a probabilisticmodel. In the experimental part we analyze the advantages ofacceleration techniques and prove that BOA is able to solve hypergraphpartitioning problems reliably, effectively, and without the need forspecifying control parameters and encoding schemes as inrecombination-based genetic algorithms.

Rok
2003
Strany
133–141
Sborník
Procceedings of MENDEL 2003
Konference
9th International Mendel Conference on Soft Computing, Brno, CZ
ISBN
80-214-2411-7
Vydavatel
Faculty of Mechanical Engineering BUT
Místo
Brno
BibTeX 
@inproceedings{BUT13984,
  author="Josef {Schwarz} and Jiří {Očenášek}",
  title="ACCELERATED BAYESIAN OPTIMIZATION ALGORITHMS FOR ADVANCED HYPERGRAPH PARTITIONING, accepted paper",
  booktitle="Procceedings of MENDEL 2003",
  year="2003",
  pages="133--141",
  publisher="Faculty of Mechanical Engineering BUT",
  address="Brno",
  isbn="80-214-2411-7"
}
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