An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86097115" target="_blank" >RIV/61989100:27240/11:86097115 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949696" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949696</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2011.5949696" target="_blank" >10.1109/CEC.2011.5949696</a>
Alternative languages
Result language
angličtina
Original language name
An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance
Original language description
This paper presents a new Multiobjective Evolutionary Algorithm (MOEA) based on decomposition, with fuzzy dominance (MOEA/DFD). The algorithm introduces a fuzzy Pareto dominance concept to compare two solutions and uses the scalar decomposition method only when one of the solutions fails to dominate the other in terms of a fuzzy dominance level. The diversity is maintained through the uniformly distributed weight vectors. In addition, Dynamic Resource Allocation (DRA) is used to distribute the computational effort based on the utilities of the individuals. To assess the performance of the proposed algorithm, experiments were conducted on two general benchmarks and ten unconstrained benchmark problems taken from the competition on real parameter MOEAs held under the 2009 IEEE Congress on Evolutionary Computation (CEC). As per the IGD metric, MOEA/DFD outperforms other major MOEAs in most cases. (C) 2011 IEEE.
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/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2011 IEEE Congress of Evolutionary Computation, CEC 2011
ISBN
978-1-4244-7834-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
765-772
Publisher name
IEEE
Place of publication
New York
Event location
New Orleans
Event date
Jun 5, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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