Documentation of fitdistc

Global Index (all files) (short | long) | Local contents | Local Index (files in subdir) (short | long)

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

 Output parameter:
    no output parameter

 % 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 function calls
GEATbx: Main page  Tutorial  Algorithms  M-functions  Parameter/Options  Example functions 

This document is part of version 3.8 of the 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, (