Documentation of tbx3es1
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GEAOPT = tbx3es1
ToolBoX function to define parameters for locally oriented optimization of real variables
This function defines parameters for the locally oriented
optimization of real valued variables inside the individuals.
This proedure uses no recombination and mutation operators
from evolution strategies area.
The locally oriented optimization only work with a small number
of individuals which produce a lot of offspring. Only the best
of these are added to the population.
In order to achieve this we have a choice of two possibilities.
On the one hand, the population can contain few individuals
which each produce a lot of offspring. Only the best of these
offspring replace the parents and form the new population.
- population size: 1-5 individuals,
- generation gap: 3-10 (number of offspring per parent),
- selection pressure: 1 (no selection pressure).
On the other hand, one works with a larger population size,
in which only the very best individuals produce offspring.
Here, (almost) all offspring replace the parents and form
the new population:
- population size: 5-20 individuals,
- generation gap: 1 (produce as many offspring as parents),
- selection: truncation selection with a selection pressure
of 3-10 (only the very best individuals are selected and
each produce several offspring).
The second variant has some small advantages, which have
particularly come to the fore during practical application.
Thus, the second variant is used by default.
However, the first variant is included in the comments below.
Syntax: GEAOPT = tbx3es1
no input parameters
GEAOPT - Structure with newly defined options
See also: muts1, mutes2, geamain2, geaoptset
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,