gusucode.com > 车间调度实例的遗传算法实例源代码 > 粒子群算法的源代码/best.m
function [jobname t_start t_end]=best(array) % 计算每个粒子的makespan; %array 表示编码序列; T=[1 3 6 7 3 6 8 5 10 10 10 4 5 4 8 9 1 7 5 5 5 3 8 9 9 3 5 4 3 1 3 3 9 10 4 1]; js=[3 1 2 4 6 5 2 3 5 6 1 4 3 4 6 1 2 5 2 1 3 4 5 6 3 2 5 6 1 4 2 4 6 1 5 3]; %js矩阵记录每个工件不同工序的加工机床; wpn=length(array); [m n]=size(T); jp=zeros(1,n); %jp记录工件的工序 mp=zeros(1,m); %mp记录机床上的工序 t1_start=zeros(m,n); t1_end=zeros(m,n); %记录机器每个工序的开始和结束的时间; t2_start=zeros(m,n); t2_end=zeros(m,n); %记录工件每个工序的开始时间和结束时间; jobname=zeros(m,n); %记录t1_start对应的工件号; for i=1:wpn k=array(i); %k=1,2,3,4,5,6; 代表工件号; jp(k)=jp(k)+1; %jp记录工件的工序; mp(js(k,jp(k)))=mp(js(k,jp(k)))+1; %mp记录机床的工序; q=mp(js(k,jp(k))); if jp(k)==1 if mp(js(k,1))==1 t1_start(js(k,1),1)=0; t1_end(js(k,1),1)=T(k,1); jobname(js(k,1),1)=k; %新加; t2_end(k,1)=t1_end(js(k,1),1); else t1_start(js(k,1),mp(js(k,1)))=t1_end(js(k,1),mp(js(k,1))-1); t1_end(js(k,1),mp(js(k,1)))= t1_start(js(k,1),mp(js(k,1)))+T(k,1); jobname(js(k,1),mp(js(k,1)))=k; %新加; t2_end(k,1)=t1_end(js(k,1),mp(js(k,1))); end else if q==1 t1_start(js(k,jp(k)),1)=t2_end(k,jp(k)-1); t1_end(js(k,jp(k)),1)=t1_start(js(k,jp(k)),1)+T(k,jp(k)); jobname(js(k,jp(k)),1)=k; t2_end(k,jp(k))=t1_end(js(k,jp(k))); else com1=t1_end(js(k,jp(k)),q-1); com2=t2_end(k,jp(k)-1); t1_start(js(k,jp(k)),q)=max(com1,com2); t1_end(js(k,jp(k)),q)=t1_start(js(k,jp(k)),q)+T(k,jp(k)); jobname(js(k,jp(k)),q)=k; t2_end(k,jp(k))=t1_end(js(k,jp(k)),q); end end end t_start=t1_start; t_end=t1_end; jobname=jobname;