Online Parallel Portfolio Selection with Heterogeneous Island Model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10380310" target="_blank" >RIV/00216208:11320/18:10380310 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8576117" target="_blank" >https://ieeexplore.ieee.org/document/8576117</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICTAI.2018.00119" target="_blank" >10.1109/ICTAI.2018.00119</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Online Parallel Portfolio Selection with Heterogeneous Island Model

Popis výsledku v původním jazyce

We present an online parallel portfolio selection algorithm based on the island model, which is commonly used for parallelization of evolutionary algorithms. In our case each of the islands runs a different optimization algorithm. The distributed computation is managed by a central planner which periodically changes the running methods during the execution of the algorithm -- less successful methods are removed while new instances of more successful methods are added. We compare different types of planners in the heterogeneous island model among themselves and also to the traditional homogeneous model on a wide set of problems. The tests include experiments with different representations of the individuals and different duration of fitness function evaluations. The results show that heterogeneous models are a more general and universal computational tool compared to homogeneous models.

Název v anglickém jazyce

Online Parallel Portfolio Selection with Heterogeneous Island Model

Popis výsledku anglicky

We present an online parallel portfolio selection algorithm based on the island model, which is commonly used for parallelization of evolutionary algorithms. In our case each of the islands runs a different optimization algorithm. The distributed computation is managed by a central planner which periodically changes the running methods during the execution of the algorithm -- less successful methods are removed while new instances of more successful methods are added. We compare different types of planners in the heterogeneous island model among themselves and also to the traditional homogeneous model on a wide set of problems. The tests include experiments with different representations of the individuals and different duration of fitness function evaluations. The results show that heterogeneous models are a more general and universal computational tool compared to homogeneous models.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/GJ17-17125Y" target="_blank" >GJ17-17125Y: Balancování deliberativního a reaktivního chování inteligentních agentů</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)

ISBN

978-1-5386-7449-9

ISSN

1082-3409

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

757-764

Název nakladatele

IEEE

Místo vydání

Volos, Greece

Místo konání akce

Volos, Greece

Datum konání akce

5. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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