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min
.
4
page
per
project
participant
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Sections
:
Title
''
Abstract
(
Short
problem
description
)
''
Why
this
problem
?''
Longer
problem
description
''
Problem
parametrization
''
Methods
/
(
optimization
)
technique
(
s
)''
Result
(
s
)''
Where
You
go
from
here
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><
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class
=
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>
Deadline
::
1
.
4
.
2024
/
AE540401
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>
#
edu
-
iops
:
m3x
.
baumhaus
.
digital
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://
medienhaus
.
udk
-
berlin
.
de
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/#/
room
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-
iops
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m3x
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baumhaus
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digital
Problem
&
Solution
:::
Constraints
''
Parameters
''
Search
:::
Human
heuristics
-
Trial
and
Error
''
Repetition
''
Curiosity
''
Game
&
Playfulness
:::
Mathematico
-
logical
heuristics
 
-
3SAT
Problem
and
Linear
programming
:::
Bio
-
inspired
heuristics
-
Simulated
annealing
''
Evolutionary
optimization
''
Ant
colony
optimization
:::
Evaluation
and
beyond
-
Tradeoffs
''
Thresholds
&
There
is
no
free
lunch
-
theorem
:::
Meta
-
Problem
in
Light
of
Turing
'
s
Entscheidungsproblem
<
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>
<
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>
The
term
heuristics
comes
from
the
Greek
word
heuriskein
''
which
means
to
find
or
to
discover
.
This
term
reflects
the
idea
of
finding
or
discovering
solutions
through
intuitive
or
trial
-
and
-
error
methods
. <
br
>
div
>
Parameters
&
Constraints
<
br
>
<
div
>
In
engineering
''
a
problem
P
is
defined
by
an
objective
function
that
needs
to
be
optimized
''
a
vector
of
parameters
that
can
be
adjusted
''
and
constraints
that
must
be
satisfied
.
div
><
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><
br
>
div
><
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>
The
solution
S
is
the
optimal
set
of
parameter
values
that
achieve
the
desired
optimization
while
staying
within
the
bounds
of
the
constraints
.
div
>
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