Test problems: Difference between revisions

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==Test problems==
==Test problems==
===Beale problem===
===Beale problem===
[[File:Beale Sensiplot.png|thumb|Beale function (created with [[SensiPlot]])]]
[[File:Beale Sensiplot.png|thumb|right|Beale function (created with [[SensiPlot]])]]
[[File:Beale_ani.gif|thumb|left|Beale problem being solved with [[PES]]]]
[[File:Beale_ani.gif|thumb|right|Beale problem being solved with [[PES]] (animation)]]
Finding the minimum of the Beale function{{:Literature:Beale 1958|}}.
Finding the minimum of the Beale function{{:Literature:Beale 1958|}}.
* Parameters: 2
* Parameters: 2

Revision as of 01:03, 19 May 2023

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

Test problems

Beale problem

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

Finding the minimum of the Beale function[2].

  • 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 contraints

Deb 1

Multicriteria test problem (convex)

Dependent parameters

Parameter dependency: Y > X

Flood Mitigation

Flood Mitigation

Multicriteria Problem Flood Mitigation and Hydropower Generation[3]

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. 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.
  3. 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.