binaryexample.m

遗传算法程序 主要程序 ga.m 遗传算法核心程序 BinaryExample.m 二进制编码应用程序 FloatExample.m 浮点编码的应用程序 相关算子及函数 in

echo on
% This script shows how to use the ga using a float representation. 
global bounds

% Setting the seed back to the beginning for comparison sake
rand('seed',0)

% Crossover Operators
xFns = 'simpleXover';
xOpts = [0.4];

% Mutation Operators
mFns = 'binaryMutation';
mOpts = [0.005];

% Termination Operators
termFns = 'maxGenTerm';
termOps = [40]; % 40 Generations

% Selection Function
selectFn = 'roulette'
selectOps = [];

% Evaluation Function
evalFn = 'exampleFn';
evalOps = [];

type exampleFn

% Bounds on the variables
bounds = [0 10];

% GA Options [epsilon float/binar display]
gaOpts=[1e-6 0 1];

% Generate an intialize population of size 20
startPop = initializega(20,bounds,'exampleFn',[],[1e-6 0])

% Lets run the GA
% Hit a return to continue
pause

[x endPop bestPop trace]=ga(bounds,evalFn,evalOps,startPop,gaOpts,...
    termFns,termOps,selectFn,selectOps,xFns,xOpts,mFns,mOpts);

% x is the best solution found
x
% Hit a return to continue
pause

% endPop is the ending population
endPop
% Hit a return to continue
pause

% trace is a trace of the best value and average value of generations
trace
% Hit a return to continue
pause

% Plot the best over time
clf
plot(trace(:,1),trace(:,2));
% Hit a return to continue
pause

% Add the average to the graph
hold on
plot(trace(:,1),trace(:,3));
% Hit a return to continue
pause

% Lets increase the population size by running the defaults
rand('seed',0)
[x endPop bestPop trace]=ga(bounds,evalFn,evalOps,[],gaOpts,...
    termFns,termOps,selectFn,selectOps,xFns,xOpts,mFns,mOpts);

% x is the best solution found
x
% Hit a return to continue
pause

% endPop is the ending population
endPop
% Hit a return to continue
pause

% trace is a trace of the best value and average value of generations
trace
% Hit a return to continue
pause

% Plot the best over time
clf
plot(trace(:,1),trace(:,2));
% Hit a return to continue
pause

% Add the average to the graph
hold on
plot(trace(:,1),trace(:,3));

echo off