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==Module Description== | ==Module Description== | ||
− | === | + | === Multi-Objective Sphere === |
− | The | + | The multi-objective sphere function '''f''' is a set of quadratic functions. More precisely, each ''f<sub>i'' is computed as the square of all continuous variables. |
− | ''f''('''x''') = sum<sub>i</sub>(x<sub> | + | ''f<sub>i</sub>''('''x''') = (''x<sub>i</sub>'' - 1)<sup>2</sup> + sum<sub>''j, j~=i''</sub> (x<sub>''j''</sub><sup>2</sup>) |
− | + | For example | |
+ | |||
+ | ''f<sub>1</sub>''('''x''') = (''x<sub>1</sub>'' - 1)<sup>2</sup> + ''x''<sub>2</sub><sup>2</sup> + ''x''<sub>3</sub><sup>2 + ... | ||
+ | |||
+ | ''f<sub>2</sub>''('''x''') = ''x<sub>1</sub>''<sup>2</sup> + (''x<sub>2</sub>'' - 1)<sup>2</sup> + ''x''<sub>3</sub><sup>2 + ... | ||
+ | |||
+ | ... | ||
+ | |||
+ | The Pareto front for the two-objective case is given in the following picture: | ||
+ | |||
+ | {| | ||
+ | | [[Image:moo_sphere_ds.png|100x100px|center|thumb|300x300px|Design space]] | ||
+ | | [[Image:moo_sphere.png|100x100px|center|thumb|300x300px|Objective space]] | ||
+ | |} | ||
==Usage== | ==Usage== |
Aktuelle Version vom 7. April 2019, 17:29 Uhr
Inhaltsverzeichnis
Summary
The module ContinuousMOTestProblems
contains a set of multi-objective optimization problems, which can be used to test optimization algorithms.
Properties
General
Algorithm | deterministic test function |
---|---|
Design Variables | continuous design variables only |
Objectives | multi-objective for minimization |
Constraints | none |
Boundaries | problem dependent |
Initial Search Region | problem dependent |
Typical X | not set |
Connections
Starting at his module | none |
---|---|
Ending at this module | Connections of type optimization
|
Actions
Name | Description |
---|---|
- | - |
Options
The options are the number of discrete and continuous variables and an optional time delay for per evaluation.
Module Description
Multi-Objective Sphere
The multi-objective sphere function f is a set of quadratic functions. More precisely, each fi is computed as the square of all continuous variables.
fi(x) = (xi - 1)2 + sumj, j~=i (xj2)
For example
f1(x) = (x1 - 1)2 + x22 + x32 + ...
f2(x) = x12 + (x2 - 1)2 + x32 + ...
...
The Pareto front for the two-objective case is given in the following picture:
Usage
-
Source Code
References
-