• No results found

Cognitive Ant colony optimization: A new framework in swarm intelligence

N/A
N/A
Protected

Academic year: 2020

Share "Cognitive Ant colony optimization: A new framework in swarm intelligence"

Copied!
157
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 2.2 Chains of Oecophylla longinoda
Figure 2.5 Basic principle of AC (Source:  Blum, 2005)
Figure 3.2 Utility functions based on wealth
Figure 3.3 shows a graph of the value function.
+7

References

Related documents

For the binary vari- able (failure of jaundice resolution), if missing data were reported in original studies, we would perform best-worst scenario (assuming that participants with

The present study did not manage to detect any differences in parents’ mental health symptoms between AA and AD groups, although, in consistency with a previous study

Microsoft Word Afstudeerscriptie Konijnendijk doc DE INVLOED VAN DE SOCIALE OMGEVING OP VOLGZAAMHEID MET EEN WAARSCHUWINGSINSTRUCTIE THE INFLUENCE OF THE SOCIAL ENVIRONMENT ON

EURASIP Journal on Applied Signal Processing 2004 12, 1912?1920 c? 2004 Hindawi Publishing Corporation Algorithms for Hardware Based Pattern Recognition Volker Lohweg Koenig & Bauer AG

I n the months of April-July virtually all of seven states in the region (Alabama, Georgia, Kentucky, North and South Carolina, Tennessee, and Virginia) experienced

The Annual General Meeting of shareholders held April 28, 2015 ratified the appointment of six new directors: - Pascale Amenc-Antoni - Guillaume Cadiou - Pierre-Henri Chappaz -