(完整版)initializega函数代码

function [pop] = initializega(num, bounds, evalFN,evalOps,options)

%

function [pop]=initializega(populationSize, variableBounds,evalFN,evalOps,options)

%

initializega creates a matrix of random numbers with

%

a number of rows equal to the populationSize and a number

%

columns equal to the number of rows in bounds plus 1 for

%

the f(x) value which is found by applying the evalFN.

%

This is used by the ga to create the population if it

%

is not supplied.

%

% pop

- the initial, evaluated, random population

% populatoinSize - the size of the population, i.e. the number to create

% variableBounds - a matrix which contains the bounds of each variable, i.e.

%

[var1_high var1_low; var2_high var2_low; ....]

%

% evalFN

- the evaluation fn, usually the name of the .m file for

%

evaluation

%

% evalOps

- any options to be passed to the eval function defaults []

%

% options

- options to the initialize function, ie.

%

[type prec] where eps is the epsilon value

%

and the second option is 1 for float and 0 for binary,

%

prec is the precision of the variables defaults [1e-6 1]

if nargin<5

options=[1e-6 1];

end

if nargin<4

evalOps=[];

end

if any(evalFN<48) %Not a .m file

if options(2)==1 %Float GA

estr=['x=pop(i,1); pop(i,xZomeLength)=', evalFN ';'];

else %Binary GA

estr=['x=b2f(pop(i,:),bounds,bits); pop(i,xZomeLength)=', evalFN ';'];

end

else %A .m file

if options(2)==1 %Float GA

estr=['[ pop(i,:) pop(i,xZomeLength)]=' evalFN '(pop(i,:),[0 evalOps]);'];

else %Binary GA

estr=['x=b2f(pop(i,:),bounds,bits);[x v]=' evalFN ...

'(x,[0 evalOps]); pop(i,:)=[f2b(x,bounds,bits) v];'];

end