Solve the following sales man problem : A
B
C
D
E
​

A
-
12
24
25
15

B
6
-
16
18
7

C
10
11
-
18
12

D
14
17
22
-
16

E
12
13
23
25
-

The Traveling Salesman Problem (TSP) involves finding the shortest possible route that visits each city exactly once and returns to the original city. In this problem, the cities are A, B, C, D, and E, and the distances between them are given in a matrix form. 

Let's first visualize the distance matrix:

\[
\begin{array}{c|ccccc}
 & A & B & C & D & E \\
\hline
A & - & 12 & 24 & 25 & 15 \\
B & 6 & - & 16 & 18 & 7 \\
C & 10 & 11 & - & 18 & 12 \\
D & 14 & 17 & 22 & - & 16 \\
E & 12 & 13 & 23 & 25 & - \\
\end{array}
\]

Since A to B is different from B to A in some cases, we assume the distances are asymmetric, and we'll consider the distance matrix as follows:

\[
\begin{array}{c|ccccc}
 & A & B & C & D & E \\
\hline
A & 0 & 12 & 24 & 25 & 15 \\
B & 6 & 0 & 16 & 18 & 7 \\
C & 10 & 11 & 0 & 18 & 12 \\
D & 14 & 17 & 22 & 0 & 16 \\
E & 12 & 13 & 23 & 25 & 0 \\
\end{array}
\]

To solve the TSP, we can use the Nearest Neighbor Algorithm as an approximate method:

1. Start at city A.
2. Move to the nearest unvisited city.
3. Repeat step 2 until all cities are visited.
4. Return to the starting city.

Let's follow these steps:

### Step-by-Step Solution

1. **Starting at City A:**
   - Nearest city is B with distance 12.
   
2. **From City B:**
   - Nearest unvisited city is E with distance 7.
   
3. **From City E:**
   - Nearest unvisited city is C with distance 12.
   
4. **From City C:**
   - Nearest unvisited city is D with distance 18.
   
5. **From City D:**
   - Return to starting city A with distance 14.

### Route and Total Distance

The route is: A → B → E → C → D → A

Calculating the total distance:
- A to B: 12
- B to E: 7
- E to C: 12
- C to D: 18
- D to A: 14

Total distance = 12 + 7 + 12 + 18 + 14 = 63

### Conclusion
The approximate solution to the TSP using the Nearest Neighbor Algorithm gives us a route of A → B → E → C → D → A with a total distance of 63.

Would you like further details on solving the TSP using different methods or have any questions?

---

### Related Questions:
1. What is the exact method to solve the Traveling Salesman Problem?
2. How does the Nearest Neighbor Algorithm work in detail?
3. Can the TSP be solved using Dynamic Programming?
4. What is the time complexity of solving TSP exactly?
5. Are there other heuristic methods to solve the TSP?
6. How does the Branch and Bound method solve the TSP?
7. Can TSP be applied to real-world scenarios? If yes, give examples.
8. What is the significance of TSP in optimization problems?

### Tip:
For complex optimization problems like TSP, exploring different algorithms and heuristics can provide more efficient or approximate solutions, especially when dealing with large datasets.

Learn how to solve the Traveling Salesman Problem (TSP) using the Nearest Neighbor Algorithm with a detailed step-by-step solution. This problem involves finding the shortest route that visits each city exactly once and returns to the starting city. Suitable for advanced high school students and above.

Math Problem Statement

A

B 6

C 10 11

D 14 17 22

E 12 13 23 25

Solution

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