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Heterogeneous Island Models and Their Application to Recommender Systems and Electric Vehicle Charging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10398560" target="_blank" >RIV/00216208:11320/20:10398560 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=j2N23X_KNw" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=j2N23X_KNw</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0218213020600106" target="_blank" >10.1142/S0218213020600106</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Heterogeneous Island Models and Their Application to Recommender Systems and Electric Vehicle Charging

  • Original language description

    In this paper we describe a general framework for parallel optimization based on the island model of evolutionary algorithms. The framework runs a number of optimization methods in parallel with periodic communication, in this way, it essentially creates a parallel ensemble of optimization method. At the same time, the system contains a planner that decides which of the available optimization methods should be used to solve the given optimization problem and changes the distribution of such methods during the run of the optimization. Thus, the system effectively solves the problem online parallel portfolio selection. The proposed system is evaluated in a number of common benchmarks with various problem encodings as well as in two real-life problems -- the optimization in recommender systems and the training of neural networks for the control of electric vehicle charging.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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/GJ17-10090Y" target="_blank" >GJ17-10090Y: Network Optimization</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal on Artificial Intelligence Tools

  • ISSN

    0218-2130

  • e-ISSN

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    03n04

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    20

  • Pages from-to

    1-20

  • UT code for WoS article

    000563092500011

  • EID of the result in the Scopus database

    2-s2.0-85086878301