遺傳算法多目標(biāo)函數(shù)優(yōu)化

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1、WORD格式可編輯多目標(biāo)遺傳算法優(yōu)化銑削正交試驗(yàn)結(jié)果序號(hào)vc(m/min)fz(mm/z)ae(mm)ap(mm)F(N)Ra(μm)1400.020.25446.30.1742400.040.5659.70.2113400.060.758106.50.2884400.081.010123.00.3485600.020.25899.30.2526600.040.510134.00.3027600.061.04139.70.2388600.080.756130.40.2769800.020.7510255.80.29810

2、800.041.08255.80.28811800.060.256110.40.25912800.080.54140.80.258131000.021.06314.20.240141000.040.754233.40.239151000.060.510278.60.330161000.080.258144.70.328說明：1.建立切削力和表面粗糙度模型如：（1）此模型你們來擬合（上面有實(shí)驗(yàn)數(shù)據(jù)，剩下的兩個(gè)方程已經(jīng)是我?guī)湍銈償M合好的了）（2）Ra=10-0.92146vc0.14365fz0.16065ae0.04769

3、1ap0.38457（3）變量約束范圍：公式（1）和（2）值越小越好，公式（3）值越大越好。π=3.14D=82.請(qǐng)將多目標(biāo)優(yōu)化操作過程錄像（同時(shí)考慮三個(gè)方程，優(yōu)化出最優(yōu)的自變量數(shù)值），方便我后續(xù)進(jìn)行修改；將能保存的所有圖片及源文件發(fā)給我；將最優(yōu)解多組發(fā)給我，類似于下圖（黃色部分為達(dá)到的要求）專業(yè)知識(shí)分享WORD格式可編輯遺傳算法的結(jié)果:專業(yè)知識(shí)分享WORD格式可編輯專業(yè)知識(shí)分享WORD格式可編輯vcfzaeapFRaQ69.49510.02010.59362.030144.45690.1507-133.92377.76

4、040.080.80047.7189298.80560.3241-3058.3469.84320.04290.79237.316175.06530.2827-1383.0170.2130.02820.69457.6443117.280.2673-837.41369.49510.02010.59362.030144.45690.1507-133.923程序如下:clear;clc;%遺傳算法直接求解多目標(biāo)優(yōu)化D=8;%FunctionhandletothefitnessfunctionF=@(X)[10^(3.19)*(X

5、(1).^(-0.0836)).*(X(2).^0.825).*(X(3).^0.564).*(X(4).^0.454)];Ra=@(X)[10^(-0.92146)*(X(1).^0.14365).*(X(2).^0.16065).*(X(3).^0.047691).*(X(4).^0.38457)];Q=@(X)[-1000*2*X(1).*X(2).*X(3).*X(4)/(pi*D)];專業(yè)知識(shí)分享WORD格式可編輯nvars=4;%Numberofdecisionvariableslb=[40,0.02,0.2

6、5,2];%Lowerboundub=[100,0.08,1.0,10];%UpperboundA=[];b=[];%NolinearinequalityconstraintsAeq=[];beq=[];%Nolinearequalityconstraints%遺傳算法設(shè)定約束options=gaoptimset('ParetoFraction',0.3,'PopulationSize',200,'Generations',300,'StallGenLimit',200,'TolFun',1e-100,'PlotFcns

7、',@gaplotpareto);%thedataofPareto1FUN=@(X)[F(X);Ra(X)];[x,fval]=gamultiobj(FUN,nvars,A,b,Aeq,beq,lb,ub,options);%開啟一個(gè)新的圖形figure;%畫出Pareto1plot(fval(:,1),fval(:,2),'mp');%畫出網(wǎng)格gridon;%設(shè)定橫坐標(biāo)xlabel('F');%設(shè)定縱坐標(biāo)ylabel('Ra');%設(shè)定題目title('Paretofront1');%thedataofPareto2F

8、UN=@(X)[F(X);Q(X)];[x,fval]=gamultiobj(FUN,nvars,A,b,Aeq,beq,lb,ub,options);%開啟一個(gè)新的圖形figure;%畫出Pareto2plot(fval(:,1),fval(:,2),'mp');%畫出網(wǎng)格gridon;%設(shè)定橫坐標(biāo)xlabel('