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Evolving ensembles of traffic lights controllers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10388390" target="_blank" >RIV/00216208:11320/18:10388390 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8576146" target="_blank" >https://ieeexplore.ieee.org/document/8576146</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICTAI.2018.00148" target="_blank" >10.1109/ICTAI.2018.00148</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolving ensembles of traffic lights controllers

  • Original language description

    We describe first results on a traffic-lights controller based on neural networks optimized by an evolutionary algorithm. Among the inputs of the neural network are outputs of other popular control algorithms, thus the evolved controller can be considered and ensemble controller. In a series of experiments, we show that evolution is capable of creating controllers that provide promising performance better than any of a number of baselines.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GJ17-17125Y" target="_blank" >GJ17-17125Y: Balancing Deliberative and Reactive Behaviour of Intelligent Agents</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

  • ISBN

    978-1-5386-7449-9

  • ISSN

    1082-3409

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    958-962

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Neuveden

  • Event location

    Volos, Řecko

  • Event date

    Nov 5, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article