<s>
Dispersive	B-Algorithm
flies	I-Algorithm
optimisation	I-Algorithm
(	O
DFO	O
)	O
is	O
a	O
bare-bones	O
swarm	B-Architecture
intelligence	I-Architecture
algorithm	O
which	O
is	O
inspired	O
by	O
the	O
swarming	O
behaviour	O
of	O
flies	O
hovering	O
over	O
food	O
sources	O
.	O
</s>
<s>
DFO	O
is	O
a	O
simple	O
optimiser	O
which	O
works	O
by	O
iteratively	B-Algorithm
trying	O
to	O
improve	O
a	O
candidate	O
solution	O
with	O
regard	O
to	O
a	O
numerical	O
measure	O
that	O
is	O
calculated	O
by	O
a	O
fitness	O
function	O
.	O
</s>
<s>
DFO	O
was	O
introduced	O
with	O
the	O
intention	O
of	O
analysing	O
a	O
simplified	O
swarm	B-Architecture
intelligence	I-Architecture
algorithm	O
with	O
the	O
fewest	O
tunable	O
parameters	O
and	O
components	O
.	O
</s>
<s>
In	O
the	O
first	O
work	O
on	O
DFO	O
,	O
this	O
algorithm	O
was	O
compared	O
against	O
a	O
few	O
other	O
existing	O
swarm	B-Architecture
intelligence	I-Architecture
techniques	O
using	O
error	O
,	O
efficiency	O
and	O
diversity	O
measures	O
.	O
</s>
<s>
Since	O
its	O
inception	O
,	O
DFO	O
has	O
been	O
used	O
in	O
a	O
variety	O
of	O
applications	O
including	O
medical	B-Application
imaging	I-Application
and	O
image	O
analysis	O
as	O
well	O
as	O
data	O
mining	O
and	O
machine	O
learning	O
.	O
</s>
<s>
particle	B-Algorithm
swarm	I-Algorithm
optimization	I-Algorithm
and	O
differential	B-Algorithm
evolution	I-Algorithm
)	O
.	O
</s>
<s>
The	O
pseudocode	B-Language
below	O
represents	O
one	O
iteration	O
of	O
the	O
algorithm	O
:	O
</s>
<s>
In	O
the	O
algorithm	O
above	O
,	O
represents	O
fly	O
at	O
dimension	O
and	O
time	O
;	O
presents	O
'	O
s	O
best	O
neighbouring	O
fly	O
in	O
ring	B-Architecture
topology	I-Architecture
(	O
left	O
or	O
right	O
,	O
using	O
flies	O
indexes	O
)	O
,	O
at	O
dimension	O
and	O
time	O
;	O
and	O
is	O
the	O
swarm	O
's	O
best	O
fly	O
.	O
</s>
<s>
Other	O
notable	O
minimalist	O
swarm	O
algorithm	O
is	O
Bare	O
bones	O
particle	B-Algorithm
swarms	I-Algorithm
(	O
BB-PSO	O
)	O
,	O
which	O
is	O
based	O
on	O
particle	B-Algorithm
swarm	I-Algorithm
optimisation	I-Algorithm
,	O
along	O
with	O
bare	O
bones	O
differential	B-Algorithm
evolution	I-Algorithm
(	O
BBDE	O
)	O
which	O
is	O
a	O
hybrid	O
of	O
the	O
bare	O
bones	O
particle	B-Algorithm
swarm	I-Algorithm
optimiser	O
and	O
differential	B-Algorithm
evolution	I-Algorithm
,	O
aiming	O
to	O
reduce	O
the	O
number	O
of	O
parameters	O
.	O
</s>
