Detail publikace

The Distributed Bayesian Optimization Algorithm for Combinatorial Optimization

OČENÁŠEK, J., SCHWARZ, J.

Originální název

The Distributed Bayesian Optimization Algorithm for Combinatorial Optimization

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The Bayesian Optimization Algorithms (BOA) belong to the probabilistic model building evolutionary algorithms where crossover and mutation operators are replaced by probability distribution estimation and sampling techniques. The learned Bayesian network BN as the most general graphical probability model is used to encode the structure of solved combinatorial problems. In [1] we proposed and simulated the pipeline hardware architecture for BOA. The aim of this paper is to propose the distributed version of BOA algorithm with a coarse-grained parallelism. We focused primarily on the construction of Bayesian network in the distributed environment. In addition, methods for overlapping the communication latency during generation, evaluation and broadcasting of new population among the processes are described. Much attention was devoted to the implementation of proposed approaches using a cluster of workstations as a computational platform.

Klíčová slova

genetic algorithm, estimation of distribution algorithm, Distributed Bayesian Optimization Algorithm, Bayesian network, dependency graph, cluster computing, coarse-grained parallelism

Autoři

OČENÁŠEK, J., SCHWARZ, J.

Vydáno

19. 9. 2001

Místo

Athens

ISBN

84-89925-97-6

Kniha

EUROGEN 2001 - Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial Problems

Strany od

115

Strany do

120

Strany počet

8

BibTex

@inproceedings{BUT10031,
  author="Jiří {Očenášek} and Josef {Schwarz}",
  title="The Distributed Bayesian Optimization Algorithm for Combinatorial Optimization",
  booktitle="EUROGEN 2001 - Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial Problems",
  year="2001",
  pages="115--120",
  address="Athens",
  isbn="84-89925-97-6"
}