Documentation of fitdistc
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Function Synopsis
fitdistc(OBJ_F, VLUB, FitDistOpt, Dummy, P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,P14,P15)
Help text
FITness DISTance Correlation computation
This function computes the fitness-distance correlation
of a given objective function or using saved data.
A fitness distance scatter plot is generated.
Syntax: fitdistc(OBJ_F, VLUB, FitDistOpt, Dummy, P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,P14,P15)
Input parameters:
OBJ_F - String containing the name of the objective function
VLUB - (optional) Matrix containing boundaries of variables
of objective function
if VLUB is empty, feval(OBJ_F, [],1) is used to
determine the boundaries to use
if OBJ_F is empty, VLUB contains the full name of
a text data file containing objective values (first
column) and variables of corresponding individuals
(second - last column), each row corresponds to
objective value and variables of one individual
FitDistOpt- (optional) Vektor containing options of fitness
distance calculation
FitDistOpt(1): Number of variables (dimensions) to use
if omitted, number of variables is
determined from size of VLUB
FitDistOpt(2): 0: Use points generated by an evenly
spaced grid
1: Use randomly generated points
if number of variables (dimensions) is
greater than 6, randomly created points
are used
FitDistOpt(3): Maximal number of points to use
Dummy - not used at the moment
P1-P15 - Additional parameters directly forwarded to the objective
function
Output parameter:
no output parameter
Examples:
% Compute fdc of objfun1 using default parameters
>> fitdistc('objfun1')
% Compute fdc of objfun1 in 5 dimensions, use 10000 evenly spaced points
>> fitdistc('objfun1', [], [5, 0, 10000])
See also: geamain, resplot, compdiv
Cross-Reference Information
This document is part of
version 3.8 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.
© 1994-2006 Hartmut Pohlheim, All Rights Reserved,
(support@geatbx.com).