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The Pareto front for the two-objective case is given in the following picture:
 
The Pareto front for the two-objective case is given in the following picture:
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[[Image:moo_sphere.png|frame|center|10px|Pareto front of the multi-objective sphere function]]
  
 
==Usage==
 
==Usage==

Version vom 7. April 2019, 14:53 Uhr

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:

Pareto front of the multi-objective sphere function

Usage

-

Source Code

https://sourceforge.net/p/opendino/code/HEAD/tree/trunk/src/org/opendino/modules/problems/ContinuousMOTestProblems.java

References

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