lingo 变量超出最多的限制model:sets:q是初始的角度,m是偏转角;plane/a1..a6/:x,y,q,m;links(plane,plane);endsets目标函数;需求约束;@for(links(i,j)|x(i)#ne# x(j) #and# y(i)#ne# y(j):(x(i)+800*t*@cos(q(i)+m(i))-(x(j)+800*t*@cos(q(j

lingo 变量超出最多的限制model:sets:q是初始的角度,m是偏转角;plane/a1..a6/:x,y,q,m;links(plane,plane);endsets目标函数;需求约束;@for(links(i,j)|x(i)#ne# x(j) #and# y(i)#ne# y(j):(x(i)+800*t*@cos(q(i)+m(i))-(x(j)+800*t*@cos(q(j
lingo 变量超出最多的限制
model:
sets:
q是初始的角度,m是偏转角;
plane/a1..a6/:x,y,q,m;
links(plane,plane);
endsets
目标函数;
需求约束;
@for(links(i,j)|x(i)#ne# x(j) #and# y(i)#ne# y(j):(x(i)+800*t*@cos(q(i)+m(i))-(x(j)+800*t*@cos(q(j)+m(j))))^2+(y(i)+800*t*@sin(q(i)+m(i))-(y(j)+800*t*@sin(q(j)+m(j))))^2>64);
时间分析;
@for(links(i,j)|x(i)#ne# x(j) #and# y(i)#ne# y(j):(-((@cos(q(i)+m(i))-@cos(q(j)+m(j)))*(x(i)-x(j))+(@sin(q(i)+m(i))-@sin(q(j)+m(j)))*(y(i)-y(j)))/(800*((@cos(q(i)+m(i))-@cos(q(j)+m(j)))^2+(@sin(q(i)+m(i))-@sin(q(j)+m(j)))^2)))

lingo 变量超出最多的限制model:sets:q是初始的角度,m是偏转角;plane/a1..a6/:x,y,q,m;links(plane,plane);endsets目标函数;需求约束;@for(links(i,j)|x(i)#ne# x(j) #and# y(i)#ne# y(j):(x(i)+800*t*@cos(q(i)+m(i))-(x(j)+800*t*@cos(q(j
绋嬪簭娌￠棶棰榽鍙?兘鍙?槸杞?欢鍙橀噺闄愬埗鈥︾瓟妗堟垜绠楀嚭鏉ヤ簡鈥?br/> T 0.000000
X( A1) 150.0000
X( A2) 85.00000
X( A3) 150.0000
X( A4) 145.0000
X( A5) 130.0000
X( A6) 0.000000
Y( A1) 140.0000
Y( A2) 85.00000
Y( A3) 155.0000
Y( A4) 50.00000
Y( A5) 150.0000
Y( A6) 0.000000
Q( A1) 4.241000
Q( A2) 4.119000
Q( A3) 3.848000
Q( A4) 2.775000
Q( A5) 4.014000
Q( A6) 0.9080000
M( A1) 0.000000
M( A2) 0.000000
M( A3) 0.000000
M( A4) 0.000000
M( A5) 0.000000
M( A6) 0.000000
Row Slack or Surplus
1 7186.000
2 8061.000
3 436.0000
4 42036.00
5 7186.000
6 9061.000
7 4761.000
8 6186.000
9 14386.00
10 9061.000
11 10986.00
12 361.0000
13 46461.00
14 8061.000
15 4761.000
16 10986.00
17 10161.00
18 23461.00
19 436.0000
20 6186.000
21 361.0000
22 10161.00
23 39336.00
24 42036.00
25 14386.00
26 46461.00
27 23461.00
28 39336.00
29 0.5707895
30 0.2060285
31 0.4053332
32 0.1581078
33 0.5707895
34 0.2742298
35 0.2312193
36 0.3208201
37 0.2085955
38 0.2742298
39 0.1573335
40 0.2023483
41 0.1473466
42 0.2060285
43 0.2312193
44 0.1573335
45 0.1745847
46 0.1637929
47 0.4053332
48 0.3208201
49 0.2023483
50 0.1745847
51 0.1588337
52 0.1581078
53 0.2085955
54 0.1473466
55 0.1637929
56 0.1588337
57 10.00000
58 75.00000
59 10.00000
60 15.00000
61 30.00000
62 160.0000
63 20.00000
64 75.00000
65 5.000000
66 110.0000
67 10.00000
68 160.0000
69 0.000000
70 0.2828427