👂 🎴 🕸️
In
evolutionary
optimization
''
a
„
fitness
function
“
is
like
a
scoring
system
that
rates
how
good
each
candidate
solution
(
or
'
individual
')
is
at
solving
the
problem
.
Think
of
it
as
a
judge
in
a
competition
''
evaluating
participants
based
on
how
well
they
meet
certain
criteria
.
The
higher
the
score
''
the
better
the
solution
.
This
function
is
crucial
because
it
guides
the
selection
process
''
helping
to
decide
which
solutions
should
be
kept
''
discarded
''
or
combined
to
create
the
next
generation
of
solutions
.
<
p
class
=
„
fragment
“
>
elitism
:
select
N
most
fit
individuals
and
copy
them
to
next
generation
p
><
p
class
=
„
fragment
“
>
roulette
-
wheel
:
probability
of
survival
into
next
generation
is
proportional
to
indvididual
'
s
fitness
p
><
p
class
=
„
fragment
“
>
tournament
...
p
>
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