最新文章专题视频专题问答1问答10问答100问答1000问答2000关键字专题1关键字专题50关键字专题500关键字专题1500TAG最新视频文章推荐1 推荐3 推荐5 推荐7 推荐9 推荐11 推荐13 推荐15 推荐17 推荐19 推荐21 推荐23 推荐25 推荐27 推荐29 推荐31 推荐33 推荐35 推荐37视频文章20视频文章30视频文章40视频文章50视频文章60 视频文章70视频文章80视频文章90视频文章100视频文章120视频文章140 视频2关键字专题关键字专题tag2tag3文章专题文章专题2文章索引1文章索引2文章索引3文章索引4文章索引5123456789101112131415文章专题3
当前位置: 首页 - 正文

农场生产计划 数学建模

来源:动视网 责编:小OO 时间:2025-09-24 23:44:01
文档

农场生产计划 数学建模

问题重述某农场有3万亩农田,欲种植玉米、大豆和小麦三种农作物.各种作物每亩需施化肥分别为吨、吨、吨.预计秋后玉米每亩可收获500千克,售价为元/千克,大豆每亩可收获200千克,售价为元/千克,小麦每亩可收获350千克,售价为元/千克.农场年初规划时考虑如下几个方面:第一目标:年终收益不低于350万元;第二目标:总产量不低于万吨;第三目标:玉米产量不超过万吨,大豆产量不少于万吨,小麦产量以万吨为宜,同时根据三种农作物的售价分配权重;第四目标:农场现能提供5000吨化肥;若不够,可在市场高价购买,
推荐度:
导读问题重述某农场有3万亩农田,欲种植玉米、大豆和小麦三种农作物.各种作物每亩需施化肥分别为吨、吨、吨.预计秋后玉米每亩可收获500千克,售价为元/千克,大豆每亩可收获200千克,售价为元/千克,小麦每亩可收获350千克,售价为元/千克.农场年初规划时考虑如下几个方面:第一目标:年终收益不低于350万元;第二目标:总产量不低于万吨;第三目标:玉米产量不超过万吨,大豆产量不少于万吨,小麦产量以万吨为宜,同时根据三种农作物的售价分配权重;第四目标:农场现能提供5000吨化肥;若不够,可在市场高价购买,
问题重述

某农场有3万亩农田,欲种植玉米、大豆和小麦三种农作物.各种作物每亩需施化肥分别为 吨、吨、 吨.预计秋后玉米每亩可收获500千克,售价为 元/千克,

大豆每亩可收获200千克,售价为 元/千克,小麦每亩可收获350 千克,售价为 元

/千克.农场年初规划时考虑如下几个方面:

第一目标:年终收益不低于350万元;

第二目标:总产量不低于万吨;

第三目标:玉米产量不超过万吨,大豆产量不少于万吨,小麦产量以 万吨为宜,同时根据三种农作物的售价分配权重;

第四目标:农场现能提供5000 吨化肥;若不够,可在市场高价购买,但希望高价采购量愈少愈好.

模型假设与建立

模型假设:

1、假设农作物的收成不会受天灾的影响

2、假设农作物不受市场影响,价格既定

用分别表示用于种植玉米、大豆、小麦的农田(单位:亩)

整理数据列表如下所示:

物种玉米大豆小麦
亩产量(千克)500200350
售价(元/千克)
售价(元/亩)100240245
施肥量(亩/吨)
变量设置(亩)

模型建立

约束条件

(1)刚性约束

(2)柔性约束

第一目标:年终收益不低于350万元;

第二目标:总产量不低于万吨;

第三目标:玉米产量不超过万吨,大豆产量不少于万吨,小麦产量以 万吨为宜,

第四目标:农场现能提供5000 吨化肥;若不够,可在市场高价购买,但希望高价采购量愈少愈好.

模型求解:(见附件)

种植面积:

玉米:亩

土豆:亩

小麦:亩

能够得到一个满足条件的种植计划

附件:

model: 

sets: 

  L/1..4/:p,z,goal; 

  V/1..3/:x; 

  HN/1..1/:b; 

  SN/1..6/:g,dp,dm; 

  HC(HN,V):a;  

  SC(SN,V):c; 

  Obj(L,SN):wp,wm; 

endsets 

data: 

  p=; 

  goal=?0; 

  b=30000; 

  g=3500000  6000000 2000000 5000000 5000000; 

  a=1,1,1;   

  c=120 240 245  

    500 200 350 

    500 0 0

    0 200 0

    0 0 350

    120 200 150; 

  wp=0 0 0 0 0 0

     0 0 0 0 0 0

     0 0  0  0

     0 0 0 0 0 1; 

  wm=1 0 0 0 0 0

     0 1 0 0 0 0

     0 0 0   0

     0 0 0 0 0 0; 

enddata 

min=@sum(L(i):p(i)*z(i)); 

@for(L(i):z(i)=@sum(SN(j):wp(i,j)*dp(j)+wm(i,j)*dm(j))); 

@for(HN(i):@sum(V(j):a(i,j)*x(j))<=b(i)); 

@for(SN(i):@sum(V(j):c(i,j)*x(j))+dm(i)-dp(i)=g(i)); 

@for(L(i)|i#lt#@size(L):@bnd(0,z(i),goal(i))); 

No feasible solution found.

   Total solver iterations:                            10

                       Variable           Value        Reduced Cost

                          P( 1)                    

                          P( 2)                    

                          P( 3)                    

                          P( 4)                    

                          Z( 1)                    

                          Z( 2)                  +09

                          Z( 3)        2417143.           -3125000.

                          Z( 4)                    

                      GOAL( 1)                    

                      GOAL( 2)                    

                      GOAL( 3)        2417143.            

                      GOAL( 4)                    

                          X( 1)                    

                          X( 2)                    

                          X( 3)                    

                          B( 1)                    

                          G( 1)        3500000.            

                          G( 2)       +08        

                          G( 3)        6000000.            

                          G( 4)        2000000.            

                          G( 5)        5000000.            

                          G( 6)        5000000.            

                         DP( 1)        3061543.            

                         DP( 2)       -2582429.           +09

                         DP( 3)                   +08

                         DP( 4)                   +09

                         DP( 5)                   +09

                         DP( 6)                    

                         DM( 1)                    

                         DM( 2)                    

                         DM( 3)        3042143.            

                         DM( 4)                    

                         DM( 5)                   +08

                         DM( 6)                    

                       A( 1, 1)                    

                       A( 1, 2)                    

                       A( 1, 3)                    

                       C( 1, 1)                    

                       C( 1, 2)                    

                       C( 1, 3)                    

                       C( 2, 1)                    

                       C( 2, 2)                    

                       C( 2, 3)                    

                       C( 3, 1)                    

                       C( 3, 2)                    

                       C( 3, 3)                    

                       C( 4, 1)                    

                       C( 4, 2)                    

                       C( 4, 3)                    

                       C( 5, 1)                    

                       C( 5, 2)                    

                       C( 5, 3)                    

                       C( 6, 1)                    

                       C( 6, 2)                    

                       C( 6, 3)                    

                      WP( 1, 1)                    

                      WP( 1, 2)                    

                      WP( 1, 3)                    

                      WP( 1, 4)                    

                      WP( 1, 5)                    

                      WP( 1, 6)                    

                      WP( 2, 1)                    

                      WP( 2, 2)                    

                      WP( 2, 3)                    

                      WP( 2, 4)                    

                      WP( 2, 5)                    

                      WP( 2, 6)                    

                      WP( 3, 1)                    

                      WP( 3, 2)                    

                      WP( 3, 3)                    

                      WP( 3, 4)                    

                      WP( 3, 5)                    

                      WP( 3, 6)                    

                      WP( 4, 1)                    

                      WP( 4, 2)                    

                      WP( 4, 3)                    

                      WP( 4, 4)                    

                      WP( 4, 5)                    

                      WP( 4, 6)                    

                      WM( 1, 1)                    

                      WM( 1, 2)                    

                      WM( 1, 3)                    

                      WM( 1, 4)                    

                      WM( 1, 5)                    

                      WM( 1, 6)                    

                      WM( 2, 1)                    

                      WM( 2, 2)                    

                      WM( 2, 3)                    

                      WM( 2, 4)                    

                      WM( 2, 5)                    

                      WM( 2, 6)                    

                      WM( 3, 1)                    

                      WM( 3, 2)                    

                      WM( 3, 3)                    

                      WM( 3, 4)                    

                      WM( 3, 5)                    

                      WM( 3, 6)                    

                      WM( 4, 1)                    

                      WM( 4, 2)                    

                      WM( 4, 3)                    

                      WM( 4, 4)                    

                      WM( 4, 5)                    

                      WM( 4, 6)                    

                            Row    Slack or Surplus      Dual Price

                              1                   

                              2                    

                              3                  +09

                              4                   -3125000.

                              5                   

                              6                   +11

                              7                    

                              8                  +09

                              9                    

                             10                  +09

                             11                  +08

                             12                    

文档

农场生产计划 数学建模

问题重述某农场有3万亩农田,欲种植玉米、大豆和小麦三种农作物.各种作物每亩需施化肥分别为吨、吨、吨.预计秋后玉米每亩可收获500千克,售价为元/千克,大豆每亩可收获200千克,售价为元/千克,小麦每亩可收获350千克,售价为元/千克.农场年初规划时考虑如下几个方面:第一目标:年终收益不低于350万元;第二目标:总产量不低于万吨;第三目标:玉米产量不超过万吨,大豆产量不少于万吨,小麦产量以万吨为宜,同时根据三种农作物的售价分配权重;第四目标:农场现能提供5000吨化肥;若不够,可在市场高价购买,
推荐度:
  • 热门焦点

最新推荐

猜你喜欢

热门推荐

专题
Top