General Tuning of Weights in MOEA/D
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10333212" target="_blank" >RIV/00216208:11320/16:10333212 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7743894/" target="_blank" >http://ieeexplore.ieee.org/document/7743894/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2016.7743894" target="_blank" >10.1109/CEC.2016.7743894</a>
Alternative languages
Result language
angličtina
Original language name
General Tuning of Weights in MOEA/D
Original language description
In decomposition based algorithms the quality of the resulting solutions depends on the weights used in the decomposition scheme. Usually the weights are generated in the beginning and remain fixed during the evolution, which may lead to poor distribution of solutions along the Pareto front. In this paper, we describe an extension of the popular MOEA/D algorithm which is able to tune the weights in order to find a set of solutions which maximizes a user specified objective. This adaptation is added as a new step to the algorithm which uses an approximation of the Pareto front to find suitable points in the objective space. These points are translated back into weights in such way to lead MOEA/D to find these points.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
ISBN
978-1-5090-0622-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
965-972
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390749101018