TBU Publications
Repository of TBU Publications

Clustered self organising migrating algorithm for the quadratic assignment problem

DSpace Repository

Title: Clustered self organising migrating algorithm for the quadratic assignment problem
Author: Davendra, Donald David; Zelinka, Ivan; Šenkeřík, Roman
Document type: Conference paper (English)
Source document: Power Control and Optimization, Proceedings. 2009, vol. 1159, p. 282-290
ISSN: 0094-243X (Sherpa/RoMEO, JCR)
Journal Impact This chart shows the development of journal-level impact metrics in time
JCR Journal Citation Reports - Impact Factor
SNIP SCImago Source Normalized Impact per Paper
SJR SCImago Journal Rank
IPP SCImago Impact per Publication
CS Scopus CiteScore
(Note: The metrics are not comparable against one another.)
ISBN: 978-0-7354-0696-4
DOI: https://doi.org/10.1063/1.3223943
Abstract: An approach of population dynamics and clustering 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. Self Organising Migrating Algorithm (SOMA) is modified using this approach and vetted with the Quadratic Assignment Problem (QAP). Extensive experimentation is conducted on benchmark problems in this area.
Full text: http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=APCPCS001159000001000282000001&idtype=cvips&gifs=yes&ref=no
Show full item record

Export to RefWorks
   

 

Files in this item

Icon
Name: Fulltext_1001793.pdf
Size: 11.28Mb
Format: PDF
Description: fulltext
View/Open

ČSN ISO 690:2011 citation

Citace článku v konferenčním sborníku:
DAVENDRA, Donald David, Ivan ZELINKA a Roman ŠENKEŘÍK. Clustered self organising migrating algorithm for the quadratic assignment problem. In: Power Control and Optimization, Proceedings [online]. Bali: American Institute of Physics (AIP), 2009, s. 282-290. [cit. 2026-09-01]. ISSN 0094-243X. Dostupné z: http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=APCPCS001159000001000282000001&idtype=cvips&gifs=yes&ref=no.

These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.

Related articles