Hybrid self organizing migrating algorithm - Scatter search for the task of capacitated vehicle routing problem

Davendra, Donald David; Zelinka, Ivan; Šenkeřík, Roman; Jašek, Roman; Bialic-Davendra, Magdalena Lucyna

Title:

Author:

Davendra, Donald David; Zelinka, Ivan; Šenkeřík, Roman; Jašek, Roman; Bialic-Davendra, Magdalena Lucyna

Document type:

Conference paper (English)

Source document:

AIP Conference Proceedings. 2012, vol. 1499, p. 344-350

ISSN:

0094-243X (Sherpa/RoMEO, JCR)

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ISBN:

978-0-7354-1113-5

DOI:

https://doi.org/10.1063/1.4769012

Abstract:

One of the new emerging application strategies for optimization is the hybridization of existing metaheuristics. The research combines the unique paradigms of solution space sampling of SOMA and memory retention capabilities of Scatter Search for the task of capacitated vehicle routing problem. The new hybrid heuristic is tested on the Taillard sets and obtains good results. © 2012 American Institute of Physics.

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Citace článku v konferenčním sborníku:
DAVENDRA, Donald David, Ivan ZELINKA, Roman ŠENKEŘÍK, Roman JAŠEK a Magdalena Lucyna BIALIC-DAVENDRA. Hybrid self organizing migrating algorithm - Scatter search for the task of capacitated vehicle routing problem. In: AIP Conference Proceedings [online]. Las Vegas: 2012, s. 344-350. ISSN 0094-243X.

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