【本科畢業(yè)設計】基本遺傳算法及其在函數優(yōu)化中的應用-文庫吧資料
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【正文】 nd I would like to speak to him first to find out what his experience was.Uefa hass 150th anniversary celebrations and will attend City39。Employment tribunals.The (lack of) air up there Watch mCayman Islandsbased Webb, the head of Fifa39。To find your nearest CAB, including those that give advice by , click ona damagesbased agreement, you should make sure you39。t charge you more than 35% of your pensation Further help.If you are being represented by a solicitor at the tribunal, they may ask you to sign an agreement where you pay their fee out of your pensation if you win the case. This is known as aagainst the disciplinary action your employer has taken against you. However, if you win your case, the tribunal may reduce any pensation awarded to you as a result of your failure to appeal.Remember that in most cases you must make an application to an employment tribunal within three months of the date when the event you are plaining about happened. If your application is received after this time limit, the tribunal will not usually accept it.If you are worried about how the time limits apply to you, take advice from one of the organisations listed undert your employer dismisses you and you think that you have been dismissed unfairly.For more information about dismissal and unfair dismissal, see you don39。 end mychange=sum(new_scale1,2)。 new_scale1=new_scale。 else mut_scale(i,a)=0。 if a=0 a=1。 mut_scale=new_scale。 cross_scale(i+1,:)=[new_scale(i+1,1:a),new_scale(i,a+1:end)]。 for i=1:2:sx1 if randpc a=round(rand*sy)。 end end end endend%子函數：按概率交叉function cross_scale=my_cross(new_scale,pc) [sx,sy]=size(new_scale)。accum(i+1)=a next_scale(j,:)=new_scale(i+1,:)。 else if accum(i)aamp。 while j=sx a=rand。 [sx,sy]=size(new_scale)。 accum=my_fit/sum_of_f。 end end my_fit=my_fit39。 for i=1:length(my_f) if my_f(i)+f_min=0 my_fit(i)=0。 my_f=change_x*sin(10π*change_x)+2。 [sx,sy]=size(new_scale)。) grid on%子函數：產生初始種群function initscale=produscale(my_scale,gen_len) initscale=round(rand(my_scale,gen_len))。 ylabel(39。迭代次數(1)wxb39。[best_fit,best_f,best_x]=39。 best_x=best_x1(loca)。end [best_fit,loca]=max(fitfit)。 best_x1=[best_x1,best_x]。 fitfit=[fitfit,best_fit]。 best_x=2+best_x.*4./(2^sy1)。 best_f=my_f(j)。 [sx,sy]=size(new_scale)。 %按概率交叉 mut_scale=my_mutat(cross_scale,pm)。 %計算適應度值 next_scale=my_selle
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