Three types of differential evolution applied to the facility location problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099108" target="_blank" >RIV/61989100:27240/16:86099108 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-33609-1_44" target="_blank" >http://dx.doi.org/10.1007/978-3-319-33609-1_44</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-33609-1_44" target="_blank" >10.1007/978-3-319-33609-1_44</a>
Alternative languages
Result language
angličtina
Original language name
Three types of differential evolution applied to the facility location problem
Original language description
Facility location problem is a combinatorial optimization problem with many variants and a number of real-world applications in operations research and industry. A number of exact and approximate methods has been developed to tackle this complex task. Populational nature-inspired metaheuristic optimization methods have been investigated in context of the facility location problem as well. They are able to find excellent problem solutions, but often rely on domain-specific local search and employ heuristic steps. In this work, we study the application of three different flavours of the differential evolution algorithm to a hard variant of the facility location problem. The methods are used as pure metaheuristics without any domain specific knowledge and the efficiency of different optimization strategies they represent is evaluated and compared on a test data set. (C) Springer International Publishing Switzerland 2016.
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/GJ16-25694Y" target="_blank" >GJ16-25694Y: Multi-paradigm data mining algorithms based on information retrieval, fuzzy, and bio-inspired methods</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
Advances in Intelligent Systems and Computing. Volume 450
ISBN
978-3-319-33608-4
ISSN
1615-3871
e-ISSN
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Number of pages
13
Pages from-to
487-499
Publisher name
Springer
Place of publication
Basel
Event location
Soči
Event date
May 16, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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