Detail publikace

Evolutionary Synthesis of Cube Root Computational Circuit Using Graph Hybrid Estimation of Distribution Algorithm

Originální název

Evolutionary Synthesis of Cube Root Computational Circuit Using Graph Hybrid Estimation of Distribution Algorithm

Anglický název

Evolutionary Synthesis of Cube Root Computational Circuit Using Graph Hybrid Estimation of Distribution Algorithm

Jazyk

en

Originální abstrakt

The paper is focused on evolutionary synthesis of analog circuit realization of cube root function using proposed Graph Hybrid Estimation of Distribution Algorithm. The problem of cube root function circuit realization was adopted to demonstrate synthesis capability of the proposed method. Individuals of the population of the proposed method which represent promising topologies are encoded using graphs and hypergraphs. Hybridization with local search algorithm was used. The proposed method employs univariate probabilistic model.

Anglický abstrakt

The paper is focused on evolutionary synthesis of analog circuit realization of cube root function using proposed Graph Hybrid Estimation of Distribution Algorithm. The problem of cube root function circuit realization was adopted to demonstrate synthesis capability of the proposed method. Individuals of the population of the proposed method which represent promising topologies are encoded using graphs and hypergraphs. Hybridization with local search algorithm was used. The proposed method employs univariate probabilistic model.

BibTex


@article{BUT107660,
  author="Josef {Slezák} and Jiří {Petržela}",
  title="Evolutionary Synthesis of Cube Root Computational Circuit Using Graph Hybrid Estimation of Distribution Algorithm",
  annote="The paper is focused on evolutionary synthesis of analog circuit realization of cube root function using proposed Graph Hybrid Estimation of Distribution Algorithm. The problem of cube root function circuit realization was adopted to demonstrate synthesis capability of the proposed method. Individuals of the population of the proposed method which represent promising topologies are encoded using graphs and hypergraphs. Hybridization with local search algorithm was used. The proposed method employs univariate probabilistic model.",
  address="SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI",
  chapter="107660",
  institution="SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI",
  number="1",
  volume="23",
  year="2014",
  month="april",
  pages="549--558",
  publisher="SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI",
  type="journal article in Web of Science"
}