Clustered self organising migrating algorithm for the quadratic assignment problem

Davendra, Donald David; Zelinka, Ivan; Šenkeřík, Roman

Název:

Autor:

Davendra, Donald David; Zelinka, Ivan; Šenkeřík, Roman

Typ dokumentu:

Článek ve sborníku (English)

Zdrojový dok.:

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

Abstrakt:

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.

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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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