April 2016
Intermediate to advanced
552 pages
17h 2m
English
Content preview from Bio-Inspired Computing and Networking
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BEECLUST: A Swarm Algorithm Derived from Honeybees
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115
t = 0 steps t = 500 steps
t = 1000 steps t = 10,000 steps
(a) (b)
(c) (d)
Figure 5.13 Simulation of 150 I-SWARM robots in a gradient formed by a bright
lamp (>1100 lx on the brightest spot). The subfigures show stroboscopic snapshot
pictures of the run of the simulation. Over time, the clusters in the central area
of the arena increase in number and size, while the clusters formed on the darker
peripheral areas of the arena disappear. Finally, most robots are aggregated at the
light spot at the center of the arena.
(a) Final robot swarm configuration
in arena setup 1
Final robot swarm configuration
in ...
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