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ACCELERATED BAYESIAN OPTIMIZATION ALGORITHMS FOR ADVANCED HYPERGRAPH PARTITIONING, accepted paper

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F03%3APU42543" target="_blank" >RIV/00216305:26230/03:PU42543 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ACCELERATED BAYESIAN OPTIMIZATION ALGORITHMS FOR ADVANCED HYPERGRAPH PARTITIONING, accepted paper

  • Original language description

    The paper summarizes our recent work on the design, analysis and applications of the Bayesian optimization algorithm (BOA) and its advanced accelerated variants for solving complex - sometimes NP-complete - combinatorial optimization problems from circuit design. We review the methods for accelerating BOA for hypergraph-partitioning problem. The first method accelerates the convergence of sequential BOA by utilizing specific knowledge about the optimized problem and the second method is based on the parrallel construction of a probabilistic model. In the experimental part we analyze the advantages of acceleration techniques and prove that BOA is able to solve hypergraph partitioning problems reliably, effectively, and without the need for specifying control parameters and encoding schemes as in recombination-based genetic algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F02%2F0503" target="_blank" >GA102/02/0503: Parallel performance prediction and tuning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2003

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Procceedings of MENDEL 2003

  • ISBN

    80-214-2411-7

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    133-141

  • Publisher name

    Faculty of Mechanical Engineering BUT

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    May 9, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article