Test problems: Difference between revisions

From BlueM
Jump to navigation Jump to search
m (→‎Zitzler/Deb T3: screenshot)
(Added Ackley function (BlueM.Opt v2.4.0))
 
(15 intermediate revisions by the same user not shown)
Line 1: Line 1:
{{EVO.NET nav}}
{{BlueM.Opt nav}}
<div style="float:right; margin:0 0 10px 10px;">__TOC__</div>
<div style="float:left; margin:0 10px 10px 0;">__TOC__</div>
Liste der Testprobleme, die in [[EVO.NET]] eingebaut sind.
List of test problems available in [[BlueM.Opt]]. Some of them are taken from {{:Literature:Moré et al. 1981}}.<br clear="all"/>


==Sinus-Funktion==
==Test problems==
Parameter an Sinusfunktion anpassen


==Beale-Problem==
===Ackley function===
Es wird das Minimum des Beale-Problems gesucht (x=(3, 0.5), F(x)=0)
[[File:BlueM.Opt Ackley function.png|thumb|right|Ackley function]]
The Ackley function is a non-convex function used as a performance test problem for optimization algorithms. It was proposed by David Ackley in his 1987 PhD dissertation{{:Literature:Ackley 1987|}}.


==Schwefel 2.4-Problem==
On a 2-dimensional domain it is defined by:
Minimum der Problemstellung wird gesucht (xi=1, F(x)=0)


==Deb 1==
: <math>
Multikriterielles Testproblem (konvex)
\begin{align}
f(x,y) = -20&{}\exp\left[-0.2\sqrt{0.5(x^2+y^2)}\,\right] \\
& {} -\exp\left[0.5\left(\cos 2\pi x + \cos 2\pi y \right)\right] + e + 20
\end{align}
</math>{{:Literature:Bäck 1996|}}


==Zitzler/Deb T1==
Its global optimum point is
Multikriterielles Testproblem (konvex)
:<math>f(0,0) = 0.</math><br clear="all" />


==Zitzler/Deb T2==
===Beale problem===
Multikriterielles Testproblem (konkav)
[[File:Beale Sensiplot.png|thumb|right|Beale function (created with [[SensiPlot]])]]
[[File:Beale_ani.gif|thumb|right|Beale problem being solved with [[PES]] (animation)]]
Finding the minimum of the Beale function{{:Literature:Beale 1958|}}.
* Parameters: 2
* Objective functions: 1


==Zitzler/Deb T3==
<math>f(x,y)=(1.5-x(1-y))^2+(2.25-x(1-y^2))^2+(2.625-x(1-y^3))^2</math>
[[Bild:TP ZitzlerDebT3.png|thumb|Zitzler/Deb T3]]
Multikriterielles Testproblem (konvex, nicht stetig)<br clear="all" />


==Zitzler/Deb T4==
Global minimum: <code>f(3, 0.5) = 0</code><br clear="all" />
Multikriterielles Testproblem (konvex)


==CONSTR==
===Box===
Multikriterielles Testproblem (konvex) mit zwei Randbedingungen
[[File:EVO Box screenshot.png|thumb|Box]]
Multicriteria test problem (circle) with two contraints<br clear="all"/>


==Box==
===CONSTR===
[[Bild:EVO Box screenshot.png|thumb|Box]]
[[File:CONSTR_ani.gif|thumb|CONSTR]]
Multikriterielles Testproblem (Kreis) mit zwei Randbedingungen<br clear="all"/>
Multicriteria test problem (convex) with two constraints<br clear="all" />


==Abhängige Parameter==
===Deb 1===
Bedingung im Parameterraum: Y > X
Multicriteria test problem (convex)


==Flood Mitigation==
===Dependent parameters===
[[Bild:TP FloodMitigation.png|thumb|Flood Mitigation]]
Parameter dependency: Y > X
Multicriteria Problem Flood Mitigation and Hydropower Generation.


'''Sharma, Ajay''' (2008): Inflow prediction and optimal operation of reservoir system during flood by the combined application of ANN and different Optimization techniques. Master's Thesis. [http://130.83.196.154/wikindx/index.php?action=resourceView&id=776 Link]<br clear="all"/>
===Flood Mitigation===
[[File:TP FloodMitigation.png|thumb|Flood Mitigation]]
Multicriteria Problem Flood Mitigation and Hydropower Generation<ref>'''Sharma, Ajay''' (2008): Inflow prediction and optimal operation of reservoir system during flood by the combined application of ANN and different Optimization techniques. Master Thesis, Institute of Hydraulic and Water Resources Engineering, Technische Universität Darmstadt.</ref><br clear="all"/>


[[Kategorie:EVO]]
===Schwefel 2.4 problem===
Find the minimum (xi=1, F(x)=0)
 
===Sine function===
Fit parameters to the sine function
 
===Zitzler/Deb T1===
Multicriteria test problem (convex)
 
===Zitzler/Deb T2===
Multicriteria test problem (concave)
 
===Zitzler/Deb T3===
[[File:Zitzler deb t3 ani.gif|thumb|right|Zitzler/Deb T3 being solved with [[PES]] (animation)]]
Multicriteria test problem (convex, non-continuous)<br clear="all" />
 
===Zitzler/Deb T4===
Multicriteria test problem (convex)
 
==References==
<references/>
 
[[Kategorie:BlueM.Opt Anwendung]]

Latest revision as of 01:18, 19 May 2023

EVO.png BlueM.Opt | Download | Usage | Development

List of test problems available in BlueM.Opt. Some of them are taken from Moré et al. (1981)[1].

Test problems

Ackley function

Ackley function

The Ackley function is a non-convex function used as a performance test problem for optimization algorithms. It was proposed by David Ackley in his 1987 PhD dissertation[2].

On a 2-dimensional domain it is defined by:

[math]\displaystyle{ \begin{align} f(x,y) = -20&{}\exp\left[-0.2\sqrt{0.5(x^2+y^2)}\,\right] \\ & {} -\exp\left[0.5\left(\cos 2\pi x + \cos 2\pi y \right)\right] + e + 20 \end{align} }[/math][3]

Its global optimum point is

[math]\displaystyle{ f(0,0) = 0. }[/math]

Beale problem

Beale function (created with SensiPlot)
Beale problem being solved with PES (animation)

Finding the minimum of the Beale function[4].

  • Parameters: 2
  • Objective functions: 1

[math]\displaystyle{ f(x,y)=(1.5-x(1-y))^2+(2.25-x(1-y^2))^2+(2.625-x(1-y^3))^2 }[/math]

Global minimum: f(3, 0.5) = 0

Box

Box

Multicriteria test problem (circle) with two contraints

CONSTR

CONSTR

Multicriteria test problem (convex) with two constraints

Deb 1

Multicriteria test problem (convex)

Dependent parameters

Parameter dependency: Y > X

Flood Mitigation

Flood Mitigation

Multicriteria Problem Flood Mitigation and Hydropower Generation[5]

Schwefel 2.4 problem

Find the minimum (xi=1, F(x)=0)

Sine function

Fit parameters to the sine function

Zitzler/Deb T1

Multicriteria test problem (convex)

Zitzler/Deb T2

Multicriteria test problem (concave)

Zitzler/Deb T3

Zitzler/Deb T3 being solved with PES (animation)

Multicriteria test problem (convex, non-continuous)

Zitzler/Deb T4

Multicriteria test problem (convex)

References

  1. Moré, J.J., Garbow, B.S. and Hillstrom, K.E. (1981): Testing Unconstrained Optimization Software, ACM Transactions on Mathematical Software (TOMS) 7:1, p. 17-41, doi:10.1145/355934.355936
  2. Ackley, D. H. (1987): "A connectionist machine for genetic hillclimbing", Kluwer Academic Publishers, Boston MA.
  3. Bäck, Thomas (1996): "Artificial Landscapes". Evolutionary Algorithms in Theory and Practice. Oxford University Press. p. 142. doi:10.1093/oso/9780195099713.003.0008. ISBN 978-0-19-509971-3.
  4. Beale, E. M. L. (1958): On an iterative method of finding a local minimum of a function of more than one variable. Technical Report 25, Statistical Techniques Research Group, Princeton University.
  5. Sharma, Ajay (2008): Inflow prediction and optimal operation of reservoir system during flood by the combined application of ANN and different Optimization techniques. Master Thesis, Institute of Hydraulic and Water Resources Engineering, Technische Universität Darmstadt.