%%?清空環境
clc;clear;
%%?CI算法參數（以函數值最大為目標）
maxgen=200;?????????????????????????%進化代數
popsize=10;???????????????????????%種群規模
varNum=10;?????????????????????????%采樣數目
r=0.5;?????????????????????????????%屬性約減因子
e=0.0001;??????????????????????????%convergence?parameter?
cmax=10;???????????????????????????%飽和次數
inibound=[-5?5;-5?5];?????????????????%采樣區間
%define?cohort?parameter
X=zeros（popsize2）;%candidates
fitness=zeros（popsize1）;%
%?interval=zeros（popsize22）;%qualities?interval
%%?個體初始化

%?初始化種群
[Xinterval]=CreatIndividual（iniboundpopsize）;
%計算個體適應度
for?tmp=1:popsize
????fitness（tmp）=fun（X（tmp:））;
end
%?記錄每一代進化中最好的適應度和平均適應度
trace=[];
Fn=[00];
Fn_1=[00];
saturationNum=0;
%%?進化開始
for?i=1:maxgen
????fitness=1./fitness;
????sumfitness=sum（fitness）;
????sumf=fitness./sumfitness;
????maxIndex=find（sumf==max（sumf））;
????%
????Y=zeros（size（X））;
????Yinterval=zeros（size（interval））;
????Yfitness=zeros（size（fitness））;
%?????varNum=floor（varNum*r+1）;
????for?s=1:popsize
????????%?選擇一個個體去follow????????
%?????????if?s==maxIndex
%?????????????%the?best?one?follow?himself
%?????????????selectedIndex=maxIndex;
%??????????????bound=UpdateBou（rX（selectedIndex:）interval（selectedIndex::））;
%?????????else
%?????????????selectedIndex=Select（sumfpopsize）;?????
%?????????????%更新被選擇個體的特征采樣間隔
%?????????????bound=UpdateBou（rX（selectedIndex:）interval（selectedIndex::））;
%?????????end?
????????selectedIndex=Select（sumfpopsize）;?????
%?????????????更新被選擇個體的特征采樣間隔
????????bound=UpdateBou（rX（selectedIndex:）interval（selectedIndex::））;
????????%?Sampling?from?the?updated?interval
????????
????????[samCansamIt]=CreatIndividual（boundvarNum）;
????????%Calculate?fitness
????????samfitness=zeros（varNum1）;
????????for?tmp=1:varNum
????????????samfitness（tmp）=fun（samCan（tmp:））;
????????end
????????%update?current?candidate
????????maxIndex=find（samfitness==min（samfitness））;
????????Y（s:）=samCan（maxIndex（1）:）;
????????Yinterval（s::）=samIt（maxIndex（1）::）;
????????Yfitness（s）=samfitness（maxIndex（1））;
????end???
????X=Y;
%?????scatter（X（:1）X（:2））;
%?????axis（[-55-55]）;
%?????hold?on
????interval=Yinterval;
????fitness=Yfitness;
????
????%找到最大適應度的個體及它們在種群中的位置
????[bestfitnessbestindex]=min（fitness）;
????avgfitness=sum（fitness）/popsize;
????trace=[trace;avgfitness?bestfitness];?%記錄每一代進化中最好的適應度和平均適應度
????%%?judge?the?stop?criterion
????Fn_1=Fn;
????Fn=[max（fitness）min（fitness）];
????if?（Fn（1）-Fn_1（1））<=e
????????if?（Fn（2）-Fn_1（2））<=e
????????????if?（Fn（1）-Fn（2））<=e
????????????????saturationNum=saturationNum+1;
????????????end
????????end
????end
????if?saturationNum>=cmax
????????break;
????end
end
%進化結束

%%?結果顯示
[r?c]=size（trace）;
figure
plot（[1:r]‘trace（:1）‘r-‘[1:r]‘trace（:2）‘b--‘）;
title（[‘函數值曲線??‘?‘終止代數＝‘?num2str（i）]‘fontsize‘12）;
xlabel（‘進化代數‘‘fontsize‘12）;ylabel（‘函數值‘‘fontsize‘12）;
legend（‘各代平均值‘‘各代最佳值‘‘fontsize‘12）;
%?ylim（[1.5?8]）
di

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????3101??2017-11-08?09:38??Cohort?Intelligence\CI.asv

?????文件???????3310??2017-11-10?09:14??Cohort?Intelligence\CI.m

?????文件????????231??2017-11-07?11:32??Cohort?Intelligence\Code.m

?????文件????????286??2017-11-07?19:32??Cohort?Intelligence\CreatIndividual.m

?????文件????????182??2017-11-08?09:53??Cohort?Intelligence\fun.m

?????文件????????530??2017-11-07?22:16??Cohort?Intelligence\Select.m

?????文件????????595??2017-11-07?20:21??Cohort?Intelligence\UpdateBou.m

?????目錄??????????0??2017-11-07?21:29??Cohort?Intelligence

-----------?---------??----------?-----??----

?????????????????8235????????????????????8