有哪位盆友能把这段Dephi代码转成matlab代码吗?

有哪位盆友能把这段Dephi代码转成matlab代码吗?
并带有注释,万分感谢!


{*Cellular Ant Algorithm for Time-Constrained TSP *}
const inf=99999999; eps=1E-8;
var FN:string; f:System.Text;

procedure T_TCELL_RUN;
const   maxn=500; ruo=0.7;
label   loop,select,check;
type   item1=integer; item2=real;
var    n,i.j,k,1,ii,jj,count,s,maxcount,tweight,1ndex,last,yy:item1;
Q,tmax,tmin:item2; datatype,model: byte;
w,route,cycle:array of array of iteml;
t,dt:array of array of item2;
len,opt,nearest,ub:array of item1;

function PValue(i,j,k:item1):item2;
var l:item1; sum:item2;
begin
sum:=0;
for l:=1 to n do if (cycle[k,1=0)and(l<>i) then
if yy+w[i,l]<=ub[l] then sum:=sum+t[i,1]/w[i,l];
if (sum>eps)and(cycle[k,j]=0)and(j<>i) then sum:=t[i,j]/w[i,j]/sum;
PValue:=sum;
end;

function CValue(k,j,m:item1):item1;
var x,i,yyCell:item1; routels:array of item1;
begin
SetLength(routels,n+1);
yyCell:=0; CValue:=1;
for i:=1 to n do routels[i]:=route[k,i];
X:=routels[j]; routels[j]:=routels[m]; routels[m]:=x;
for i:=1 to n-1 do
begin
yyCell:=yyCell+w[routels[i],routels[i+1];
if yyCell>ub[routels[i+1]] then CValue:=0;
end;
yyCell:=yyCell+w[routels[n],routels[1];
if yyCell>ub[routels[1]] then CValue:=0;
end;

function OValue(k,i1,i2,j1,j2:item1;pt:array of item1):iteml;
var ahead,index,last,next,i,yy2opt:item1; ptls:array of iteml;
begin
SetLength(ptls,n+1);
yy2opt:=0; OValue:=1;
for i:=1 to n do ptls[i]:=pt[i];
ptls[il]:=jl; next:=i2; last:=j2;
repeat
ahead:=ptls[next]; ptls[next]:=last;
last:=next; next:=ahead;
until next=j2;
index:=1;
for i:=1 to n do
begin
route[k,i]:=index; index:=pt[index];
end
for i:=1 to n-1 do
begin
yy2opt:=yy2opt+w[route[k,i],route[k,i+1]];
if yy2opt>ub[route[k,i+1]] then OValue:=0;
end;
yy2opt:=yy2opt+w[route[k,n],route[k,1]];
if yy2opt>ub[route[k,1]] then OValue:=0;
end;

procedure TwoOpt;
var    ahead,i,i1,i2,index,j,j1,j2,last,limit,max,next,
s1,s2,t1,t2,maxtemp:item1; pt:array of item1;
begin
SetLength(pt,n+1);
tl:=1; t2:=1; s1:=1; s2:=1;
for i:=1 to n-1 do pt[route[k,i]]:=route[k,i+1];
pt[route[k,n]]:=route[k,1];
repeat
maxtemp:=O; il:=1;
for i:=1 to n-2 do
begin
if i=1 then limit:=n-1 else limit:=n;
i2:=pt[i1];j1:=pt[i2];
for j:=i+2 to limit do
begin
j2:=ptl[j1];
max:=w[i1,i2]+w[j1,j2]一(w[i1,j1]+w[i2, j2]);
if (max>maxtemp) and (OValue(k,i1,i2,j1,j2,pt)=1)then
begin
s1:=il; s2:=i2;
tl:=j1; t2:=j2;
maxtemp:=max;
end;
j1:=j2;
end;
i1:=i2;
end;
if (maxtemp>0) then
begin
pt[sl]:=t1; next:=s2; last:=t2;
repeat
ahead:=pt[next]; pt[next]:=last;
last:=next; next:=ahead;
until next=t2;
end;
until (maxtemp=0);
index:=1;
for i:=1 to n do
begin
route[k,i]:=index; index:=pt[index];
end;
end;

procedure CellAnt;
var j,j1,m,m1,x,max,max1,max2,max3,max4,maxtemp,s1,s2:item1;
begin
maxtemp:=0; s1:=1; s2:=1;
for j:=1 to n-1 do
begin
for m:=j+1 to n do
begin
if (m=n) then ml:=1 else m1:=m+1;
if (j=1) then jl:=n else j1:=j-1;
max1:=w[route[k,j],route[k,j+1]]+w[route[k,j],route[k,j1]];
max2:=w[route[k,m],route[k,m1]+w[route[k,m],route[k,m-1]];
max3:=w[route[k,j],route[k,m1]]+w[route[k,j],route[k,m-1]];
max4:=w[route[k,m],route[k,j+1]]+w[route[k,m] ,route[k,j1]];
max:=max1+max2-max3-max4;
if (max>maxtemp) and (CValue(k,j,m)=1) then
begin
s1:=j; s2:=m; maxtemp:=max;
end;
end;
end;
if (maxtemp>0) then
begin
x:=route[k,s2]; route[k,s2]:=route[k,s1]; route[k,s1]:=x;
end;
end;

begin
AssignFile(f,FN);Reset(f);
{$I一} Readln(f,n,maxcount);{$I+}
if (IOResult<>0)or(n<4)or(n>maxn)or(maxcount<1) then
begin ShowMessage(’数据错误!');System.Close(f); exit;end;
SetLength(w,n+1,n+1);
SetLength(t,n+1,n+1);
SetLength(dt,n+1,n+1);
SetLength(route,n+1,n+l);
SetLength(cycle,n+1,n+1);
SetLength(len,n+1);
SetLength(opt,n+1);
SetLength(nearest,n+1);
SetLength(ub,n+1);
for i:=1 to n-1 do for j:=i+1 to n do
begin
{$I一} readln(f,ii,jj,w[I,j]);{$I+}
if (IOResult<>0)or(ii<>i)or(jj<>j)or(w[i,j]<1) then
begin ShowMessage('数据错误!'); System.Close(f); exit; end;
wlj,i]:=w[ij]; t[i,j]:=1; dt[i,j]:=0;
t[j,i]:=t[i,j]; dt[j,i]:=dt[i,j];
end;
for i:=1 to n do begin w[i,i]:=inf; t[i,i]:=1;dt[i,i]:=0; end;
for i:=1 to n do
begin
{$I-} readln(f,ii,ub[i]);{$I+}
if (IOResult<>0)or(ii<>i)or(ub[i]<0) then
begin ShowMessage(’数据错误!');System.Close(f); exit; end;
end;
System.Close(f);
FN:=Copy(FN,1,Length(FN)-4)+'.OUT’;
ShowMessage(’输出结果存入文件:'+FN);
AssignFile(f,FN);Rewrite(f);
count:=0;
tweight:=inf;
randomize;
Q:=100;
model:=random(3)+1;
loop:
for k:=1 to n do
begin
s:=1; nearest[k]:=k;
for i:=1 to n do cycle[k,i]:=0;
cycle[k,nearest[k]]:=k; yy:=0;
select:
i:=nearest[k]; index:=0;
for j:=1 to n do if (cycle[k,j]=0)and(j<>i) then
if yy+w[i,j]<=ub[j] then
begin
index:=j;
if (random[k]:=inf;
if index>0 then
begin
cycle[k,nearest[k]]:=index;
nearest[k]:=cycle[k,nearest[k]];
yy:=yy+w[i,index]; len[k]:=yy; s:=s+l;
if s<=n then goto select;
end;
end;
for k:=1 to n do if len[k][k,i]:=index; index:=cycle[k,index];
end;
CellAnt;
len[k]:=w[route[k,n],route[k,1]];
for i:=1 to n-1 do len[k]:=len[k]+w[route[k,i],route[k,i+1];
end;
k:=random(n)+1;
if len[k][k]:=w[route[k,n],route[k,1]];
for i:=1 to n-1 do len[k]:=len[k]+w[route[k,i],route[k,i+1];
end;
for k:=1 to n do if len[k][k];
for j:=1 to n do opti]:=route[k,j];
end;
for k:=1 to n do if len[k][k,l]; jj:=route[k,l+1];
dt[ii,ji]:=dt[ii,ji]+q/len[k];
end;
ii:=route[k,n]; j:=route[k,1];
dt[ii,jj]:=dt[ii,ji]+q/len[k];
end;
2: begin
for l:=1 to n-1 do
begin
ii:=route[k,l]; jj:=route[k,l+1];dt[ii.ij]:=dt[ii,jj]+q;
end;
ii:=route[k,n]; jj:=route[k,l+1];
dt[ii,j]:=dt[ii,jj]+q;
end;
3: begin
for l:=1 to n-1 do
begin
ii:=route[k,l]; j:=route[k,l+1];
dt[ii,j]:=dt[ii,ij]+q/w[ii,ji];
end;
ii:=route[k,n]; j:=route[k,1];
dt[ii,jj]:=dt[ii,ji]+q/w[ii,j];
end;
end;
end;
for i:=1 to n do for j:=1 to n do
begin
t[i,j]:=ruo*t[i,j]+dt[i,j];
tmax:=1/(tweight*(1-ruo)); tmin:=tmax/5;
if (t[i,j]>tmax) then t[i,j]:=tmax;
if (t[i,j][i,j]:=tmin;
end;
count:=count+1;Q:=Q*0.9;
for i:=1 to n do for j:=1 to n do dt[i,j]:=0;
if count,’ ’); writeln(f);
end
else writeln(f,'未找到可行解!');
System.Close(f);
end;


你这代码也太长了,分成不同的部分分别进行转化+调试吧,工作量太大

基于ChatGPT的代码编写:

% Cellular Ant Algorithm for Time-Constrained TSP
inf = 99999999;
eps = 1E-8;
FN = '';
f = 0;

% T_TCELL_RUN
maxn = 500;
ruo = 0.7;
n = size(w, 1);

w = zeros(n, n);
route = zeros(maxn, n);
cycle = zeros(maxn, n);
t = zeros(n, n);
dt = zeros(n, n);
len = zeros(maxn, 1);
opt = zeros(maxn, 1);
nearest = zeros(n, 1);
ub = inf * ones(n, 1);

% PValue
function [sum] = PValue(i, j, k)
    sum = 0;
    for l = 1:n
        if (cycle(k, l) == 0) && (l ~= i)
            if yy + w(i, l) <= ub(l)
                sum = sum + t(i, 1) / w(i, l);
            end
        end
    end
    if (sum > eps) && (cycle(k, j) == 0) && (j ~= i)
        sum = t(i, j) / w(i, j) / sum;
    end
end

% CValue
function [CValue] = CValue(k, j, m)
    routels = route(k, :);
    x = routels(j);
    routels(j) = routels(m);
    routels(m) = x;
    yyCell = 0;
    CValue = 1;
    for i = 1:n-1
        yyCell = yyCell + w(routels(i), routels(i+1));
        if yyCell > ub(routels(i+1))
            CValue = 0;
            break;
        end
    end
    yyCell = yyCell + w(routels(n), routels(1));
    if yyCell > ub(routels(1))
        CValue = 0;
    end
end

% OValue
function [OValue] = OValue(k, i1, i2, j1, j2, pt)
    ptls = pt;
    ptls(i1) = j1;
    ahead = ptls(i2);
    ptls(i2) = j2;
    next = i1;
    last = j2;
    while next ~= j2
        ahead = ptls(next);
        ptls(next) = last;
        last = next;
        next = ahead;
    end
    index = 1;
    for i = 1:n
        route(k, i) = index;
        index = ptls(index);
    end
    yy2opt = 0;
    OValue = 1;
    for i = 1:n-1
        yy2opt = yy2opt + w(route(k, i), route(k, i+1));
        if yy2opt > ub(route(k, i+1))
            OValue = 0;
            break;
        end
    end
    yy2opt = yy2opt + w(route(k, n), route(k, 1));
    if yy2opt > ub(route(k, 1))
        OValue = 0;
    end
end

% TwoOpt
function TwoOpt()
    pt = route(k, :);
    pt(route(k, n)) = route(k, 1);
    maxtemp = 0;
    s1 = 1


以下是将原始代码转换为 Matlab 代码的过程。需要注意的是,Matlab 中数组的下标从 1 开始,而在原始 Delphi 代码中数组的下标从 0 开始,所以在转换过程中需要进行相应的修改。

img

img


img

img

img

img

img

img

img

img


只能帮你这么多了,剩下的你找找别人吧,转换到第131

参考GPT和自己的思路,以下是将Delphi代码转换成MATLAB代码的尝试。因为没有足够的数据和输入输出,所以无法保证转换是否准确或是否能够正常运行。此外,Delphi和MATLAB之间存在很多差异,因此一些语言结构可能需要调整才能在MATLAB中正常工作。转换结果如下:

inf = 99999999;
eps = 1E-8;
n = 500;
ruo = 0.7;
len = zeros(1, n);
opt = zeros(1, n);
nearest = zeros(1, n);
ub = inf * ones(1, n);
w = zeros(n, n);
t = zeros(n, n);
route = zeros(n, n);
cycle = zeros(n, n);

function PValue(i, j, k)
    sum = 0;
    for l = 1:n
        if (cycle(k,1) == 0 && l ~= i)
            if (yy + w(i, l) <= ub(l))
                sum = sum + t(i, 1) / w(i, l);
            end
        end
    end
    if (sum > eps && cycle(k, j) == 0 && j ~= i)
        sum = t(i, j) / w(i, j) / sum;
    end
    PValue = sum;
end

function CValue(k, j, m)
    routels = route(k, :);
    yyCell = 0;
    CValue = 1;
    x = routels(j);
    routels(j) = routels(m);
    routels(m) = x;
    for i = 1:n-1
        yyCell = yyCell + w(routels(i), routels(i+1));
        if (yyCell > ub(routels(i+1)))
            CValue = 0;
        end
    end
    yyCell = yyCell + w(routels(n), routels(1));
    if (yyCell > ub(routels(1)))
        CValue = 0;
    end
end

function OValue(k, i1, i2, j1, j2, pt)
    ptls = pt;
    yy2opt = 0;
    OValue = 1;
    ptls(i1) = j1;
    ptls(i2) = j2;
    last = j2;
    next = i1;
    while (next ~= j2)
        ahead = ptls(next);
        ptls(next) = last;
        last = next;
        next = ahead;
    end
    index = 1;
    for i = 1:n
        route(k, i) = index;
        index = ptls(index);
    end
    for i = 1:n-1
        yy2opt = yy2opt + w(route(k, i), route(k, i+1));
        if (yy2opt > ub(route(k, i+1)))
            OValue = 0;
        end
    end
    yy2opt = yy2opt + w(route(k, n), route(k, 1));
    if (yy2opt > ub(route(k, 1)))
        OValue = 0;
    end
end

function TwoOpt(route, w, n, k)
pt = zeros(1, n);
tl = 1; t2 = 1; s1 = 1; s2 = 1;
for i = 1:n-1
pt(route(k,i)) = route(k,i+1);
end
pt(route(k,n)) = route(k,1);
maxtemp = 0; il = 1;
for i = 1:n-2
if i == 1
limit = n-1;
else
limit = n;
end
i2 = pt(i1);
j1 = pt(i2);
for j = i+2:limit
j2 = pt(j1);
max = w(i1,i2) + w(j1,j2) - w(i1,j1) - w(i2,j2);
if max > maxtemp && OValue(k,i1,i2,j1,j2,pt) == 1
s1 = il;
s2 = i2;
tl = j1;
t2 = j2;
maxtemp = max;
end
j1 = j2;
end
i1 = i2;
end
if maxtemp > 0
pt(sl) = t1;
next = s2;
last = t2;
while next ~= t2
ahead = pt(next);
pt(next) = last;
last = next;
next = ahead;
end
end
index = 1;
for i = 1:n
route(k,i) = index;
index = pt(index);
end
end

function CellAnt()
maxtemp = 0; s1 = 1; s2 = 1;
for j = 1:n-1
for m = j+1:n
if (m == n)
m1 = 1;
else
m1 = m+1;
end
if (j == 1)
j1 = n;
else
j1 = j-1;
end
max1 = w(route(k,j),route(k,j+1)) + w(route(k,j),route(k,j1));
max2 = w(route(k,m),route(k,m1)) + w(route(k,m),route(k,m-1));
max3 = w(route(k,j),route(k,m1)) + w(route(k,j),route(k,m-1));
max4 = w(route(k,m),route(k,j+1)) + w(route(k,m),route(k,j1));
max = max1 + max2 - max3 - max4;
if (max > maxtemp) && (CValue(k,j,m) == 1)
s1 = j; s2 = m; maxtemp = max;
end
end
end
if (maxtemp > 0)
x = route(k,s2); route(k,s2) = route(k,s1); route(k,s1) = x;
end
end
% 读入数据
f = fopen(FN, 'r');
[nmaxcount] = fscanf(f, '%d%d', 2);
n = nmaxcount(1);
maxcount = nmaxcount(2);
if (n < 4) || (n > maxn) || (maxcount < 1)
    disp('数据错误!');
    fclose(f);
    return;
end

w = zeros(n+1, n+1);
t = ones(n+1, n+1);
dt = zeros(n+1, n+1);
route = zeros(n+1, n+1);
cycle = zeros(n+1, n+1);
len = zeros(n+1, 1);
opt = zeros(n+1, 1);
nearest = zeros(n+1, 1);
ub = zeros(n+1, 1);

for i = 1:n-1
    for j = i+1:n
        w(i,j) = fscanf(f, '%d', 1);
        if (w(i,j) < 1)
            disp('数据错误!');
            fclose(f);
            return;
        end
        w(j,i) = w(i,j);
        t(i,j) = 1;
        t(j,i) = 1;
        dt(i,j) = 0;
        dt(j,i) = 0;
    end
end

for i = 1:n
    w(i,i) = inf;
    t(i,i) = 1;
    dt(i,i) = 0;
end

for i = 1:n
    ub(i) = fscanf(f, '%d', 1);
    if (ub(i) < 0)
        disp('数据错误!');
        fclose(f);
        return;
    end
end

fclose(f);

FN = [FN(1:end-4), '.OUT'];
disp(['输出结果存入文件:', FN]);

f = fopen(FN, 'w');

count = 0;
tweight = inf;
random('seed', sum(100*clock));
Q = 100;
model = randi([1,3], 1);

% 迭代循环
while count < maxcount
    % Ant Cycle
    for k = 1:n
        s = 1;
        nearest(k) = k;
        cycle(k, nearest(k)) = k;
        yy = 0;
        while true
            i = nearest(k);
            index = 0;
            for j = 1:n
                if (cycle(k,j) == 0) && (j ~= i) && (yy + w(i,j) <= ub(j))
                    if (index == 0) || (rand < PValue(i,j,k))
                        index = j;
                    end
                end
            end
            if (index == 0) && (s < n)
                len(k) = inf;
                break;
            end
            if index > 0
                cycle(k, nearest(k)) = index;
                nearest(k) = cycle(k, nearest(k));
                yy = yy + w(i,index);
                len(k) = yy;
                s = s + 1;
                if s <= n

for l = 1:n-1
    ii = route(k,l);
    jj = route(k,l+1);
    dt(ii,jj) = dt(ii,jj) + q;
end
ii = route(k,n);
jj = route(k,1);
dt(ii,jj) = dt(ii,jj) + q;

for l = 1:n-1
    ii = route(k,l);
    j = route(k,l+1);
    dt(ii,j) = dt(ii,j) + q/w(ii,jj);
end
ii = route(k,n);
j = route(k,1);
dt(ii,jj) = dt(ii,jj) + q/w(ii,j);

for i = 1:n
    for j = 1:n
        t(i,j) = ruo*t(i,j) + dt(i,j);
        tmax = 1/(tweight*(1-ruo));
        tmin = tmax/5;
        if t(i,j) > tmax
            t(i,j) = tmax;
        end
        if t(i,j) < tmin
            t(i,j) = tmin;
        end
    end
end

count = count + 1;
Q = Q*0.9;
for i = 1:n
    for j = 1:n
        dt(i,j) = 0;
    end
end

if count < maxcount
    % continue loop
else
    if tweight < inf
        fprintf(f, '蚂蚁回路总长= %f\n', tweight);
        fprintf(f, '蚂蚁回路路径= ');
        for i = 1:n
            fprintf(f, '%d ', opti);
        end
        fprintf(f, '\n');
    else
        fprintf(f, '未找到可行解!\n');
    end
end

fclose(f);

如果对您有帮助,请给与采纳,谢谢。

% Cellular Ant Algorithm for Time-Constrained TSP
% 参数设置
inf = 99999999; eps = 1e-8;
FN = 'out.txt'; % 输出文件名
% 数据载入
data = load('data.txt');
n = size(data, 1);
w = zeros(n); % 边的权重
t = zeros(n); % 转移概率
ub = zeros(n); % 时间限制
for i = 1:n
for j = 1:n
dx = data(i,1)-data(j,1);
dy = data(i,2)-data(j,2);
d = sqrt(dx^2+dy^2);
w(i,j) = d;
t(i,j) = 1/d;
ub(i) = 50; % 时间限制,此处设为 50
end
end
% 参数初始化
datatype = 1; % 简单搜索
model = 0; % 蜂窝参数更新方式
Q = 500; % 最优解强化参数
tmax = 0.5; % 信息素最大值
tmin = 0.1; % 信息素最小值
ruo = 0.7; % 挥发系数
count = 1; % 迭代次数
maxcount = 100; % 最大迭代次数
len = zeros(1,n); % 路径长度
opt = zeros(1,n); % 最优解路径
nearest = zeros(1,n); % 最近邻路径
cycle = zeros(n,n); % 历史搜索状况
route = zeros(n,n); % 当前路径状况
% 主循环
while count <= maxcount
% 初始化
for i = 1:n
len(i) = inf;
nearest(i) = 0;
end
len(1) = 0;
route(1,:) = 1:n;
for k = 2:n
% 最近邻法确定初始解
for i = 2:n
if (cycle(k-1,i) == 0) && (len(i) > w(route(k-1,k-1),i))
len(i) = w(route(k-1,k-1),i);
nearest(i) = k-1;
end
end
min = inf;
for i = 2:n
if (cycle(k-1,i) == 0) && (len(i) < min)
min = len(i);
j = i;
end
end
route(k,:) = route(k-1,:);
route(k,1:k-1) = route(nearest(j),1:k-1);
route(k,k:n) = route(k-1,k-1);
cycle(k-1,j) = 1;
end
cycle(n,1) = 1;
% 2-opt 局部搜索
t = 1./w; % 转移概率重新计算
TwoOpt;
% 简单搜索、蜂窝参数更新
for k = 2:n
for i = 1:n
if route(k,i) ~= route(k-1,i)
last = route(k-1,i);