function?[GlobalParamsGlobalMinBestGlobalMins]=abc（objfundmax_itersizepopublb）

%%?參數初始化
NP=sizepop;?%?蜂群規模
FoodNumber=NP/2;?%?蜜源（解）數量
limit=100;?%?當有蜜源連續沒被更新的次數超過limit時，該蜜源將被重新初始化
maxCycle=max_iter;?%?最大迭代次數
%?待優化參數信息
D=d;?%?待優化參數個數，次數為c和g兩個
ub=ones（1D）*ub;?%?參數取值上界
lb=ones（1D）*lb;?%?參數取值下界
runtime=1;?%?可用于設置多次運行（讓ABC算法運行runtime次）以考察程序的穩健性

BestGlobalMins=[];?%用于存放全局最優解與平均適應度值
BestGlobalParams=zeros（runtimeD）;?%?用于存放ABC算法優化得到的最優參數
GlobalMin=inf;
GlobalParams=[inf?inf];
%%?初始化蜜源
Range?=?repmat（（ub-lb）[FoodNumber?1]）;
Lower?=?repmat（lb?[FoodNumber?1]）;
Foods?=?rand（FoodNumberD）?.*?Range?+?Lower;

%?計算每個蜜源（解）得目標函數值，objfun為計算SVM預測的平均平方誤差（MSE）的函數，根據自己的實際問題變異目標函數即可
ObjVal=ones（1FoodNumber）;
for?k?=?1:FoodNumber
????ObjVal（k）?=?objfun（Foods（k:））;
end
Fitness=calculateFitness（ObjVal）;?%?計算適應度函數值

%?標記初始最優蜜源（解）
BestInd=find（ObjVal==min（ObjVal））;
BestInd=BestInd（end）;
if?（ObjVal（BestInd）????GlobalMin=ObjVal（BestInd）;
????GlobalParams=Foods（BestInd:）;
end
%%
for?r=1:runtime?%?運行ABC算法runtime次
????trial=zeros（1FoodNumber）;?%?用于記錄第i個蜜源有連續trail（i）次沒被更新過
????iter=1;?%?迭代開始
????while?（（iter?<=?maxCycle））?%?循環條件
????????
????????%%%%%%%%%%%%%%%%%%%%%引領蜂搜索解的過程%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
????????for?i=1:（FoodNumber）?%?遍歷每個蜜源（解）
????????????Param2Change=fix（rand*D）+1;?%?隨機選擇需要變異的參數
????????????neighbour=fix（rand*（FoodNumber））+1;?%?隨機選擇相鄰蜜源（解）以準備變異
????????????%?需要保證選擇的相鄰蜜源不是當前蜜源（i）
????????????while（neighbour==i）
????????????????neighbour=fix（rand*（FoodNumber））+1;
????????????end
????????????
????????????sol=Foods（i:）;?%?提取當前蜜源（解）對應的的參數
????????????%?參數變異得到新的蜜源：v_{ij}=x_{ij}+\phi_{ij}*（x_{kj}-x_{ij}）
????????????sol（Param2Change）=Foods（iParam2Change）+（Foods（iParam2Change）-Foods（neighbourParam2Change））*（rand-0.5）*2;
????????????%?確保參數取值范圍不越界
????????????ind=find（sol????????????sol（ind）=lb（ind）;
????????????ind=find（sol>ub）;
????????????sol（ind）=ub（ind）;
????????????%?計算變異后蜜源的目標函數值和適應度函數值
????????????ObjValSol=objfun（sol）;
????????????FitnessSol=calculateFitness（ObjValSol）;
????????????%?更新當前蜜源的相關信息
????????????if?（FitnessSol>Fitness（i））
????????????????Foods（i:）=sol;
????????????????Fitness（i）=FitnessSol;
????????????????ObjVal（i）=ObjValSol;
????????????????trial（i）=0;?%?如果當前蜜源被更新了，則對應的trial歸零
????????????else
????????????????trial（i）=trial（i）+1;?%?如果當前蜜源沒有被更新，則trial（i）加1
????????????end
????????end
????????
????????%%%%%%%%%%%%%%%%%%%%%%%%?跟隨蜂搜索解的過程?%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
????????%?計算解（蜜源）的概率
????????prob=（0.9.*Fitness./max（Fitness））+0.1;
????????%?循環初始化
????????i=1;
????????t=0;
????????while（t????????????if（rand????????????????t=t+1;?%?循環計數器加1
????????????????
????????????????Param2Change=fix（rand*D）+1;?%?隨機確定需要變異的參數
????????????????neighbour=fix（rand*（FoodNumber））+1;?%?隨機選擇相鄰蜜源（解）
????????????????%?需要保證選擇的相鄰蜜源不是當前蜜源（i）
????????????????while（neighbour==i）
???????????????

?屬性????????????大小?????日期????時間???名稱
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????.CA....??????5844??2019-05-05?20:37??差分蜂群優化算法MATLAB實現\abc.m

????.CA....??????5714??2019-05-05?20:37??差分蜂群優化算法MATLAB實現\ABC1.m

????.CA....???????182??2008-06-09?19:54??差分蜂群優化算法MATLAB實現\calculateFitness.m

????.CA....???????322??2019-03-30?13:23??差分蜂群優化算法MATLAB實現\Code.m

????.CA....??????1613??2019-03-30?13:32??差分蜂群優化算法MATLAB實現\Cross.m

????.CA....??????2590??2019-05-05?19:44??差分蜂群優化算法MATLAB實現\DE.m

????.CA....??????2496??2020-05-19?13:29??差分蜂群優化算法MATLAB實現\de1.m

????.CA....??????1547??2019-05-05?20:29??差分蜂群優化算法MATLAB實現\DEABC.m

????.CA....????????76??2019-04-29?10:54??差分蜂群優化算法MATLAB實現\f1.m

????.CA....???????186??2019-04-29?10:54??差分蜂群優化算法MATLAB實現\f2.m

????.CA....???????174??2019-04-29?10:51??差分蜂群優化算法MATLAB實現\f3.m

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????.CA....??????2462??2019-05-03?13:14??差分蜂群優化算法MATLAB實現\ga.m

????.CA....??????1239??2020-05-19?13:24??差分蜂群優化算法MATLAB實現\MAIN.m

????.CA....??????1455??2019-03-30?13:54??差分蜂群優化算法MATLAB實現\Mutation.m

????.CA....??????2657??2020-05-19?13:31??差分蜂群優化算法MATLAB實現\pso.m

????.CA....???????806??2019-03-30?13:25??差分蜂群優化算法MATLAB實現\select.m

????.CA....???3456266??2019-03-30?16:28??差分蜂群優化算法MATLAB實現\一種新的混合智能極限學習機_林梅金.caj

????.CA....????????55??2020-05-19?13:32??差分蜂群優化算法MATLAB實現\程序說明.txt

????.C.D...?????????0??2020-05-19?13:32??差分蜂群優化算法MATLAB實現

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