A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092780" target="_blank" >RIV/61989100:27240/14:86092780 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CIPLS.2014.7007161" target="_blank" >http://dx.doi.org/10.1109/CIPLS.2014.7007161</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CIPLS.2014.7007161" target="_blank" >10.1109/CIPLS.2014.7007161</a>
Alternative languages
Result language
angličtina
Original language name
A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse
Original language description
An Ikeda map embedded genetic algorithm is in- troduced in this research in order to solve the order picking problem. The chaos based algorithm is compared against the canonical pseudo-random number based genetic algorithm over thirty test instances of varying complexity. From the results, the chaos based genetic algorithm is shown to have better overall performance, especially for larger sized problem instances. The statistical paired t-test comparison of the results further reinforces the fact that the chaos based genetic algorithm is significantly better performing.
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/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings
ISBN
978-1-4799-4501-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
53-58
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Orlando
Event date
Dec 9, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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