Incorporating User Preferences in MOEA/D through the Coevolution of Weights
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10316496" target="_blank" >RIV/00216208:11320/15:10316496 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/15:00446916
Result on the web
<a href="http://dx.doi.org/10.1145/2739480.2754801" target="_blank" >http://dx.doi.org/10.1145/2739480.2754801</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2739480.2754801" target="_blank" >10.1145/2739480.2754801</a>
Alternative languages
Result language
angličtina
Original language name
Incorporating User Preferences in MOEA/D through the Coevolution of Weights
Original language description
The resulting set of solutions obtained by MOEA/D depends on the weights used in the decomposition. In this work, we use this feature to incorporate user preferences into the search. We use co-evolutionary approach to change the weights adaptively duringthe run of the algorithm. After the user specifies their preferences by assigning binary preference values to the individuals, the co-evolutionary step improves the distribution of weights by creating new (offspring) weights and selecting those that better match the user preferences. The algorithm is tested on a set of benchmark functions with a set of different user preferences.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO'15: PROCEEDINGS OF THE 2015 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
ISBN
978-1-4503-3472-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
727-734
Publisher name
ASSOC COMPUTING MACHINERY
Place of publication
Neuveden
Event location
Madrid, Španělsko
Event date
Jul 11, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000358795700092