%用模擬退火的方法解TSP問題?total?search?paht
%開始是隨機產生的10個坐標點，保存成了address數據.
%address（:1）=rand（101）*100;
%address（:2）=rand（101）*100;
function?aneal_test
order1=randperm（10）‘;
load?address;
%plot（address（order11）address（order12）‘*r-‘）

T_max=1000;%input（‘please?input?the?start?temprature‘）%最大的溫度
T_min=1;%;input（‘please?input?the?end?temprature‘）%最小的溫度
iter_max=3000;%input（‘please?input?the?most?interp?steps?on?the?fit?temp‘）%一個溫度最多迭代次數
s_max=30;%input（‘please?input?the?most?steady?steps?ont?the?fit?temp‘）%如果新解比上一個解差，最多嘗試幾次放棄新解
T=T_max;
totaldis1=distance（addressorder1）;
zhe=[];
while?T>=T_min??%溫度控制
????iter_num=1;
????s_num=1;
??????%plot（Ttotaldis1）
??????TT=[Ttotaldis1];
??????zhe=[zhe;TT];
????hold?on
????while?（iter_num????????order2=exhgpath（order1）;
????????totaldis2=distance（addressorder2）;
????????R=rand;
????????DeltaDis=totaldis2-totaldis1;
????????if?DeltaDis<0;%若新解好
?????????????order1=order2;
?????????????totaldis1=totaldis2;
?