Detail publikace

Stochastic optimization algorithm with probability vector

POHL, J. JIRSÍK, V. HONZÍK, P.

Originální název

Stochastic optimization algorithm with probability vector

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

It is introduced in the paper the newly developed optimization method the Stochastic Optimization Algorithm with Probability Vector (PSV). It is related to Stochastic Learning Algorithm with Probability Vector for artificial neural networks. Both algorithms are inspired by stochastic iterated function system SIFS for generating the statistically self similar fractals. The PSV is gradient method where the direction of individual future movement from the population is based stochastically. PSV was tested on mathematical function minimization and on the travelling sales man problem.

Klíčová slova

Stochastic, Optimization Algorithm, PSV, SIFS, Random Walk, Traveling Salesman Problem

Autoři

POHL, J.; JIRSÍK, V.; HONZÍK, P.

Rok RIV

2010

Vydáno

1. 7. 2010

Nakladatel

WSEAS Press

Místo

Bukurešť

ISSN

1790-0832

Periodikum

WSEAS Transactions on Information Science and Applications

Ročník

7

Číslo

7

Stát

Řecká republika

Strany od

975

Strany do

984

Strany počet

5

BibTex

@article{BUT50466,
  author="Jan {Pohl} and Václav {Jirsík} and Petr {Honzík}",
  title="Stochastic optimization algorithm with probability vector",
  journal="WSEAS Transactions on Information Science and Applications",
  year="2010",
  volume="7",
  number="7",
  pages="975--984",
  issn="1790-0832"
}