Online-Ressource
Trans Tech Publications, Ltd.
;
2011
In:
Applied Mechanics and Materials Vol. 55-57 ( 2011-5), p. 1318-1321
In:
Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 55-57 ( 2011-5), p. 1318-1321
Kurzfassung:
A method combined ant colony algorithm with particle swarm optimization algorithm was designed for solving multi-objective flexible job shop scheduling problem in this paper. In the combined algorithm the start position of ants was marked by particles optimum position obtained by particle swarm optimization algorithm. Then the traditional ant colony algorithm was improved and was used to search the global optimum scheduling. The combined algorithm was validated by practical instances. The results obtained have shown the proposed approach is feasible and effective for the multi-objective flexible job shop scheduling problem.
Materialart:
Online-Ressource
ISSN:
1662-7482
DOI:
10.4028/www.scientific.net/AMM.55-57
DOI:
10.4028/www.scientific.net/AMM.55-57.1318
Sprache:
Unbekannt
Verlag:
Trans Tech Publications, Ltd.
Publikationsdatum:
2011
ZDB Id:
2251882-4
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