Differential Evolution and Genetic Algorithms for the Linear Ordering Problem

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A00020978" target="_blank" >RIV/61989100:27240/09:00020978 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Differential Evolution and Genetic Algorithms for the Linear Ordering Problem
Original language description
Linear ordering problem (LOP) is a well know NP-hard optimization problem attractive for its complexity, rich collection of testing data and variety of real world applications. It is also a popular benchmark For novel optimization and metaheuristic algorithms. In this paper, we compare the performance of genetic algorithms and differential evolution as efficient metaheuristic solvers of the LOP.
Czech name
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Czech description
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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)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Knowledge-Based and Intelligent Information and Engineering Systems
ISBN
978-3-642-04594-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Springer Heidelberg
Place of publication
Berlín
Event location
Santiago, CHILE
Event date
Sep 28, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000273270800017

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