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Clustered self organising migrating algorithm for the quadratic assignment problem

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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)
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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
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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. 2024-11-21]. ISSN 0094-243X. Dostupné z: http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=APCPCS001159000001000282000001&idtype=cvips&gifs=yes&ref=no.

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