Documentation of demomop
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Function Synopsis
[xnew, GeaOpt] = demomop(OptVariant, FunVariant)
Help text
DEMO for testing multiobjective optimization
This function provides an example for using the GEATbx for
multiobjective optimization.
The options are defined by the structure method providing a
higher flexibility.
Syntax: demomop(OptVariant, FunVariant)
Input parameter:
OptVariant - Scalar indicating the used optimization method
1: globally oriented optimization with multiple subpops
2: globally oriented optimization with 1 subpop (panmictic)
3: locally oriented optimization
if omitted or NaN, a menu will be shown with the
possible options
FunVariant - String indicating the used MO-function
if omitted or NaN, a menu will be shown with the
possible options
Output parameter:
no output parameter
See also: geaoptset, geamain2, mobj*
Cross-Reference Information
This document is part of
version 3.5 of the
GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab -
www.geatbx.com.
The Genetic and Evolutionary Algorithm Toolbox is
not public domain.
© 1994-2004 Hartmut Pohlheim, All Rights Reserved,
(support@geatbx.com).