Clustered Population Differential Evolution Approach to Quadratic Assignment Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63510076" target="_blank" >RIV/70883521:28140/09:63510076 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Clustered Population Differential Evolution Approach to Quadratic Assignment Problem
Original language description
An approach of population dynamics and clus- tering for permutative problems is presented in this paper. Diversity indicators are created from solution ordering and its mapping is shown as an advantage for population control in metaheuristics. Differential Evolution Algorithm is modified using this approach and vetted with the Quadratic Assignment Problem. Extensive experimentation is conducted on bench- mark problems in this area.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Second Global Conference on Power Control and Optimization
ISBN
978-0-7354-0696-4
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
American Institute of Physics
Place of publication
Melville
Event location
Bali, Indonesia
Event date
Jan 1, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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