一个汽车制造厂有两条装配线,每条装配线有n个工位。工位用S i,j表示,其中i为1或2,表示工位在其上的装配线,j表示工位的编号。每个站花费的时间用i,j表示。每个工作站都专用于某种工作,例如发动机配件,车身配件,喷漆等。因此,汽车底盘必须在出厂前依次经过n个站点中的每个站点。两条装配线的并行站执行相同的任务。在经过站点S i,j之后,它将继续到达站点S i,j + 1,除非它决定转移到另一条线路。在同一条线路上继续行驶不会产生任何额外费用,但是从站点i – 1处的线路i转移到另一条线路上的站点j需要花费时间t i,j 。每条装配线的进入时间e i和退出时间x i对于两条生产线可能是不同的。给出一种算法,用于计算构建汽车底盘所需的最短时间。
下图清楚地显示了该问题:
可以从问题说明中提取以下信息,以使其更简单:
- 两条装配线1和2,每条装配线的位置从1到n。
- 汽车底盘必须按顺序(从两条装配线中的任何一条)穿过所有站点,从1到n。即,如果它们不在一个移动距离,它就不能从站i跳到站j。
- 轿厢底盘可以在同一条直线上向前移动一个工位,也可以在另一条直线上对角移动一个工位。从线路i移至站点j会产生额外的费用ti,j。在同一行中移动不会产生任何费用。
- 在第i行的第j站所花费的时间为i,j 。
- S i,j代表线i上的站点j。
将问题分解为较小的子问题:
如果第(i-1)个阶乘是已知的,我们可以很容易地找到第i个阶乘。我们可以在这里申请类似的基础吗?
如果已知底盘离开站点S i,j-1的最短时间,则可以通过组合a i,j和t i,j来快速计算离开站点S i,j的最短时间。
T1(j)表示汽车底盘离开装配线1上的工位j所需的最短时间。
T2(j)表示汽车底盘离开装配线2上的工位j所需的最短时间。
基本案例:
进入时间e i仅在汽车底盘进入汽车制造厂时才显示出来。
离开1号线的第一个车站所需的时间由下式给出:
T1(1)= 1号线的进入时间+在S 1,1站花费的时间
T1(1)= e 1 + a 1,1
同样,第2行离开第一站的时间由下式给出:
T2(1)= e 2 + a 2,1
递归关系:
如果我们看问题陈述,它很快可以归结为以下观察结果:
站点S 1,j的轿厢底盘可以来自站点S 1,j-1或站点S 2,j-1 。
情况1:它的前一站是S 1,j-1
离开车站S 1,j的最短时间由下式给出:
T1(j)=离开S 1,j-1站所花费的最短时间+在S 1,j站所花费的时间
T1(j)= T1(j-1)+ a 1,j
情况2:它的前一个电台是S 2,j-1
离开车站S1的最短时间j为:
T1(j)=离开S 2,j-1所需的最短时间+更换装配线所产生的额外费用+在S 1,j所花费的时间
T1(j)= T2(j-1)+ t 2,j + a 1,j
最小时间T1(j)由在情况#1和#2中获得的两者中的最小值给出。
T1(j)= min((T1(j-1)+ a 1,j ),(T2(j-1)+ t 2,j + a 1,j ))
同样,到达站点S2 j的最短时间由下式给出:
T2(j)= min((T2(j-1)+ a 2,j ),(T1(j-1)+ t 1,j + a 2,j ))
汽车底盘从工厂出来所需的最短总时间为:
Tmin = min(离开车站S i,n所需的时间+离开汽车工厂所需的时间)
Tmin = min(T1(n)+ x 1 ,T2(n)+ x 2 )
为什么要动态编程?
上述递归表现出重叠的子问题。有两种到达车站S 1,j的方式:
- 从S 1,j-1站
- 从S 2站,j-1
因此,要找到离开站点S 1的最短时间,必须计算离开前两个站点的最短时间(如上递归所述)。
同样,有两种方法可以到达站点S 2,j :
- 从S 2站,j-1
- 从S 1,j-1站
请注意,已经计算出离开车站S 1,j-1和S 2,j-1的最短时间。
因此,我们需要两个表来存储为装配线中的每个工位计算的部分结果。表格将以自下而上的方式填充。
笔记:
在这篇文章中,使用了“离开”一词来代替“到达”,以避免混淆。由于汽车底盘必须在每个站点上花费固定的时间,因此“离开”这个词比较合适。
执行:
C++
// A C++ program to find minimum possible
// time by the car chassis to complete
#include
using namespace std;
#define NUM_LINE 2
#define NUM_STATION 4
// Utility function to find a minimum of two numbers
int min(int a, int b)
{
return a < b ? a : b;
}
int carAssembly(int a[][NUM_STATION],
int t[][NUM_STATION],
int *e, int *x)
{
int T1[NUM_STATION], T2[NUM_STATION], i;
// time taken to leave first station in line 1
T1[0] = e[0] + a[0][0];
// time taken to leave first station in line 2
T2[0] = e[1] + a[1][0];
// Fill tables T1[] and T2[] using the
// above given recursive relations
for (i = 1; i < NUM_STATION; ++i)
{
T1[i] = min(T1[i - 1] + a[0][i],
T2[i - 1] + t[1][i] + a[0][i]);
T2[i] = min(T2[i - 1] + a[1][i],
T1[i - 1] + t[0][i] + a[1][i]);
}
// Consider exit times and retutn minimum
return min(T1[NUM_STATION - 1] + x[0],
T2[NUM_STATION - 1] + x[1]);
}
// Driver Code
int main()
{
int a[][NUM_STATION] = {{4, 5, 3, 2},
{2, 10, 1, 4}};
int t[][NUM_STATION] = {{0, 7, 4, 5},
{0, 9, 2, 8}};
int e[] = {10, 12}, x[] = {18, 7};
cout << carAssembly(a, t, e, x);
return 0;
}
// This is code is contributed by rathbhupendra
C
// A C program to find minimum possible time by the car chassis to complete
#include
#define NUM_LINE 2
#define NUM_STATION 4
// Utility function to find minimum of two numbers
int min(int a, int b) { return a < b ? a : b; }
int carAssembly(int a[][NUM_STATION], int t[][NUM_STATION], int *e, int *x)
{
int T1[NUM_STATION], T2[NUM_STATION], i;
T1[0] = e[0] + a[0][0]; // time taken to leave first station in line 1
T2[0] = e[1] + a[1][0]; // time taken to leave first station in line 2
// Fill tables T1[] and T2[] using the above given recursive relations
for (i = 1; i < NUM_STATION; ++i)
{
T1[i] = min(T1[i-1] + a[0][i], T2[i-1] + t[1][i] + a[0][i]);
T2[i] = min(T2[i-1] + a[1][i], T1[i-1] + t[0][i] + a[1][i]);
}
// Consider exit times and retutn minimum
return min(T1[NUM_STATION-1] + x[0], T2[NUM_STATION-1] + x[1]);
}
int main()
{
int a[][NUM_STATION] = {{4, 5, 3, 2},
{2, 10, 1, 4}};
int t[][NUM_STATION] = {{0, 7, 4, 5},
{0, 9, 2, 8}};
int e[] = {10, 12}, x[] = {18, 7};
printf("%d", carAssembly(a, t, e, x));
return 0;
}
Java
// A java program to find minimum possible
// time by the car chassis to complete
import java.io.*;
class GFG
{
static int NUM_LINE = 2;
static int NUM_STATION = 4;
// Utility function to find minimum of two numbers
static int min(int a, int b)
{
return a < b ? a : b;
}
static int carAssembly(int a[][], int t[][], int e[], int x[])
{
int T1[]= new int [NUM_STATION];
int T2[] =new int[NUM_STATION] ;
int i;
// time taken to leave first station in line 1
T1[0] = e[0] + a[0][0];
// time taken to leave first station in line 2
T2[0] = e[1] + a[1][0];
// Fill tables T1[] and T2[] using
// the above given recursive relations
for (i = 1; i < NUM_STATION; ++i)
{
T1[i] = min(T1[i - 1] + a[0][i],
T2[i - 1] + t[1][i] + a[0][i]);
T2[i] = min(T2[i - 1] + a[1][i],
T1[i - 1] + t[0][i] + a[1][i]);
}
// Consider exit times and retutn minimum
return min(T1[NUM_STATION-1] + x[0],
T2[NUM_STATION-1] + x[1]);
}
// Driver code
public static void main (String[] args)
{
int a[][] = {{4, 5, 3, 2},
{2, 10, 1, 4}};
int t[][] = {{0, 7, 4, 5},
{0, 9, 2, 8}};
int e[] = {10, 12}, x[] = {18, 7};
System.out.println(carAssembly(a, t, e, x));
}
}
// This code is contributed by vt_m
Python3
# Python program to find minimum possible
# time by the car chassis to complete
def carAssembly (a, t, e, x):
NUM_STATION = len(a[0])
T1 = [0 for i in range(NUM_STATION)]
T2 = [0 for i in range(NUM_STATION)]
T1[0] = e[0] + a[0][0] # time taken to leave
# first station in line 1
T2[0] = e[1] + a[1][0] # time taken to leave
# first station in line 2
# Fill tables T1[] and T2[] using
# above given recursive relations
for i in range(1, NUM_STATION):
T1[i] = min(T1[i-1] + a[0][i],
T2[i-1] + t[1][i] + a[0][i])
T2[i] = min(T2[i-1] + a[1][i],
T1[i-1] + t[0][i] + a[1][i] )
# consider exit times and return minimum
return min(T1[NUM_STATION - 1] + x[0],
T2[NUM_STATION - 1] + x[1])
a = [[4, 5, 3, 2],
[2, 10, 1, 4]]
t = [[0, 7, 4, 5],
[0, 9, 2, 8]]
e = [10, 12]
x = [18, 7]
print(carAssembly(a, t, e, x))
# This code is contributed by Soumen Ghosh
C#
// A C# program to find minimum possible
// time by the car chassis to complete
using System;
class GFG {
static int NUM_STATION = 4;
// Utility function to find minimum
// of two numbers
static int min(int a, int b)
{
return a < b ? a : b;
}
static int carAssembly(int [,]a, int [,]t,
int []e, int []x)
{
int []T1= new int [NUM_STATION];
int []T2 =new int[NUM_STATION] ;
int i;
// time taken to leave first station
// in line 1
T1[0] = e[0] + a[0,0];
// time taken to leave first station
// in line 2
T2[0] = e[1] + a[1,0];
// Fill tables T1[] and T2[] using
// the above given recursive relations
for (i = 1; i < NUM_STATION; ++i)
{
T1[i] = min(T1[i - 1] + a[0,i],
T2[i - 1] + t[1,i] + a[0,i]);
T2[i] = min(T2[i - 1] + a[1,i],
T1[i - 1] + t[0,i] + a[1,i]);
}
// Consider exit times and retutn
// minimum
return min(T1[NUM_STATION-1] + x[0],
T2[NUM_STATION-1] + x[1]);
}
// Driver code
public static void Main ()
{
int [,]a = { {4, 5, 3, 2},
{2, 10, 1, 4} };
int [,]t = { {0, 7, 4, 5},
{0, 9, 2, 8} };
int []e = {10, 12};
int []x = {18, 7};
Console.Write(carAssembly(a, t, e, x));
}
}
// This code is contributed by nitin mittal.
PHP
C++
// A space optimized solution for
// assembly line scheduling
#include
using namespace std;
int carAssembly(int a[][4],
int t[][4],
int *e, int *x)
{
int first, second, i;
// Time taken to leave first
// station in line 1
first = e[0] + a[0][0];
// Time taken to leave first
// station in line 2
second = e[1] + a[1][0];
// Fill tables T1[] and T2[] using the
// above given recursive relations
for(i = 1; i < 4; ++i)
{
int up = min(first + a[0][i],
second + t[1][i] +
a[0][i]);
int down = min(second + a[1][i],
first + t[0][i] +
a[1][i]);
first = up;
second = down;
}
// Consider exit times and
// return minimum
return min(first + x[0],
second + x[1]);
}
// Driver Code
int main()
{
int a[][4] = { { 4, 5, 3, 2 },
{ 2, 10, 1, 4 } };
int t[][4] = { { 0, 7, 4, 5 },
{ 0, 9, 2, 8 } };
int e[] = { 10, 12 }, x[] = { 18, 7 };
cout << carAssembly(a, t, e, x);
return 0;
}
// This code is contributed by chitrasingla2001
Java
// A space optimized solution for assembly line scheduling
public class AssemblyLine {
public static void main(String[] args) {
int a[][] = {{4, 5, 3, 2},
{2, 10, 1, 4}};
int t[][] = {{0, 7, 4, 5},
{0, 9, 2, 8}};
int e[] = {10, 12}, x[] = {18, 7};
System.out.println(carAssembleTime(a, t, e, x));
}
public static int carAssembleTime(int a[][], int t[][],
int e[], int x[]) {
int n = a[0].length;
// time taken to leave first station in line 1
int first = e[0] + a[0][0];
// time taken to leave first station in line 2
int second = e[1] + a[1][0];
for (int i = 1; i < n; i++) {
int up = Math.min(first + a[0][i],
second + t[1][i] + a[0][i]),
down = Math.min(second + a[1][i],
first + t[0][i] + a[1][i]);
first = up;
second = down;
}
first += x[0];
second += x[1];
return Math.min(first, second);
}
}
Python3
# A space optimized solution for assembly
# line scheduling in Python3
def carAssembleTime(a, t, e, x):
n = len(a[0])
# Time taken to leave first station
# in line 1
first = e[0] + a[0][0]
# Time taken to leave first station
# in line 2
second = e[1] + a[1][0]
for i in range(1, n):
up = min(first + a[0][i],
second + t[1][i] + a[0][i])
down = min(second + a[1][i],
first + t[0][i] + a[1][i])
first, second = up, down
first += x[0]
second += x[1]
return min(first, second)
# Driver Code
a = [ [ 4, 5, 3, 2 ], [ 2, 10, 1, 4 ] ]
t = [ [ 0, 7, 4, 5 ], [ 0, 9, 2, 8 ] ]
e = [ 10, 12 ]
x = [ 18, 7 ]
print(carAssembleTime(a, t, e, x))
# This code is contributed by Prateek Gupta
C#
// A space optimized solution for
// assembly line scheduling
using System;
class GFG{
static int carAssembleTime(int[,] a, int[,] t,
int[] e, int[] x)
{
int n = a.GetLength(1);
// Time taken to leave first station in line 1
int first = e[0] + a[0, 0];
// Time taken to leave first station in line 2
int second = e[1] + a[1, 0];
for(int i = 1; i < n; i++)
{
int up = Math.Min(first + a[0, i],
second + t[1, i] + a[0, i]),
down = Math.Min(second + a[1, i],
first + t[0, i] + a[1, i]);
first = up;
second = down;
}
first += x[0];
second += x[1];
return Math.Min(first, second);
}
// Driver Code
static void Main()
{
int[,] a = { { 4, 5, 3, 2 },
{ 2, 10, 1, 4 } };
int[,] t = { { 0, 7, 4, 5 },
{ 0, 9, 2, 8 } };
int[] e = { 10, 12 }, x = { 18, 7 };
Console.WriteLine(carAssembleTime(a, t, e, x));
}
}
// This code is contributed by divyeshrabadiya07
35
粗线显示了给定输入值时,汽车底盘覆盖的路径。我们只需要辅助数组中的最后两个值。因此,我们可以使用两个变量来代替创建两个数组。
C++
// A space optimized solution for
// assembly line scheduling
#include
using namespace std;
int carAssembly(int a[][4],
int t[][4],
int *e, int *x)
{
int first, second, i;
// Time taken to leave first
// station in line 1
first = e[0] + a[0][0];
// Time taken to leave first
// station in line 2
second = e[1] + a[1][0];
// Fill tables T1[] and T2[] using the
// above given recursive relations
for(i = 1; i < 4; ++i)
{
int up = min(first + a[0][i],
second + t[1][i] +
a[0][i]);
int down = min(second + a[1][i],
first + t[0][i] +
a[1][i]);
first = up;
second = down;
}
// Consider exit times and
// return minimum
return min(first + x[0],
second + x[1]);
}
// Driver Code
int main()
{
int a[][4] = { { 4, 5, 3, 2 },
{ 2, 10, 1, 4 } };
int t[][4] = { { 0, 7, 4, 5 },
{ 0, 9, 2, 8 } };
int e[] = { 10, 12 }, x[] = { 18, 7 };
cout << carAssembly(a, t, e, x);
return 0;
}
// This code is contributed by chitrasingla2001
Java
// A space optimized solution for assembly line scheduling
public class AssemblyLine {
public static void main(String[] args) {
int a[][] = {{4, 5, 3, 2},
{2, 10, 1, 4}};
int t[][] = {{0, 7, 4, 5},
{0, 9, 2, 8}};
int e[] = {10, 12}, x[] = {18, 7};
System.out.println(carAssembleTime(a, t, e, x));
}
public static int carAssembleTime(int a[][], int t[][],
int e[], int x[]) {
int n = a[0].length;
// time taken to leave first station in line 1
int first = e[0] + a[0][0];
// time taken to leave first station in line 2
int second = e[1] + a[1][0];
for (int i = 1; i < n; i++) {
int up = Math.min(first + a[0][i],
second + t[1][i] + a[0][i]),
down = Math.min(second + a[1][i],
first + t[0][i] + a[1][i]);
first = up;
second = down;
}
first += x[0];
second += x[1];
return Math.min(first, second);
}
}
Python3
# A space optimized solution for assembly
# line scheduling in Python3
def carAssembleTime(a, t, e, x):
n = len(a[0])
# Time taken to leave first station
# in line 1
first = e[0] + a[0][0]
# Time taken to leave first station
# in line 2
second = e[1] + a[1][0]
for i in range(1, n):
up = min(first + a[0][i],
second + t[1][i] + a[0][i])
down = min(second + a[1][i],
first + t[0][i] + a[1][i])
first, second = up, down
first += x[0]
second += x[1]
return min(first, second)
# Driver Code
a = [ [ 4, 5, 3, 2 ], [ 2, 10, 1, 4 ] ]
t = [ [ 0, 7, 4, 5 ], [ 0, 9, 2, 8 ] ]
e = [ 10, 12 ]
x = [ 18, 7 ]
print(carAssembleTime(a, t, e, x))
# This code is contributed by Prateek Gupta
C#
// A space optimized solution for
// assembly line scheduling
using System;
class GFG{
static int carAssembleTime(int[,] a, int[,] t,
int[] e, int[] x)
{
int n = a.GetLength(1);
// Time taken to leave first station in line 1
int first = e[0] + a[0, 0];
// Time taken to leave first station in line 2
int second = e[1] + a[1, 0];
for(int i = 1; i < n; i++)
{
int up = Math.Min(first + a[0, i],
second + t[1, i] + a[0, i]),
down = Math.Min(second + a[1, i],
first + t[0, i] + a[1, i]);
first = up;
second = down;
}
first += x[0];
second += x[1];
return Math.Min(first, second);
}
// Driver Code
static void Main()
{
int[,] a = { { 4, 5, 3, 2 },
{ 2, 10, 1, 4 } };
int[,] t = { { 0, 7, 4, 5 },
{ 0, 9, 2, 8 } };
int[] e = { 10, 12 }, x = { 18, 7 };
Console.WriteLine(carAssembleTime(a, t, e, x));
}
}
// This code is contributed by divyeshrabadiya07
35
锻炼:
扩展上述算法以在工厂中打印汽车底盘覆盖的路径。