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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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