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dc.contributor.author |
GHECHAM -, YOUSRA |
|
dc.contributor.author |
HAMIMID, RIANE SAHAR |
|
dc.date.accessioned |
2022-10-30T08:02:49Z |
|
dc.date.available |
2022-10-30T08:02:49Z |
|
dc.date.issued |
2022-09-14 |
|
dc.identifier.issn |
MTM/304 |
|
dc.identifier.uri |
https://dspace.univ-bba.dz:443/xmlui/handle/123456789/2251 |
|
dc.description.abstract |
Ant colony optimization is a victorious technique to resolve complicated combinatorial optimized problems.Subsequent Ant System ;the primary ACO algorith,the tremendous number
of algorithmic variations have been deployed that illustrate appreciably superior performance
on broad variety of optimized problems.
In this thesis we present the main Ant System-AS ;Ant Colony System-ACS and MAX MIN
Ant System-MMAS and we also,compared the results of these three algorithms under different
parameter changes |
en_US |
dc.language.iso |
fr |
en_US |
dc.publisher |
Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science |
en_US |
dc.subject |
AS ;ACS ;MMAS. |
en_US |
dc.title |
Analyse et comparaison entre le système de fourmis ;le système de colonies du fourmis et le système de fourmis max min avec différents réglages de paramètres |
en_US |
dc.type |
Thesis |
en_US |
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