Documentation of demomop
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[xnew, GeaOpt] = demomop(OptVariant, FunVariant)
DEMO function for multiobjective optimization including many examples
This function provides an example for using the GEATbx for
Here is the entry point for multi-objective optimization.
All the relevant parameters for MO problems are defined here.
Additionally, nearly all of the MO example functions of the GEATbx
can be executed by this demo function including constrained
functions and function with goals.
At the end of the optimization the PARETO front of the found
best solutions is visualized (using plotmop).
Syntax: demomop(OptVariant, FunVariant)
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, 1 is assumed
FunVariant - String indicating the used MO-function
if omitted or NaN, a menu will be shown with the
no output parameter
See also: geaoptset, geamain2, mobj*
This document is part of version 3.8
GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab -
The Genetic and Evolutionary Algorithm Toolbox is not public domain
© 1994-2006 Hartmut Pohlheim, All Rights Reserved,