Online Parallel Portfolio Selection with Heterogeneous Island Model

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Online Parallel Portfolio Selection with Heterogeneous Island Model

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

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)

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)

Publication year

2018

Confidentiality

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

Article name in the collection

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

ISBN

978-1-5386-7449-9

ISSN

1082-3409

e-ISSN

neuvedeno

Number of pages

8

Pages from-to

757-764

Publisher name

IEEE

Place of publication

Volos, Greece

Event location

Volos, Greece

Event date

Nov 5, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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