2. HISTORY
In the 1800s, Travelling salesman problems were looked by Sir William
Rowan Hamilton and Thomas Kirkman.
Hassler Whitney at Princeton University introduced the name
travelling salesman problem
In the 1950s and 1960s, the problem became increasingly popular in
scientific circles in Europe and the USA.
Richard M. Karp showed in 1972 that the Hamiltonian cycle problem
was NP-complete.
3. INTRODUCTION
The travelling salesman problem consists of a salesman and a set of cities.
The salesman has to visit each one of the cities starting from a certain one
(e.g. the hometown) and returning to the same city. The challenge of the
problem is that the travelling salesman wants to minimize the total length of
the trip.
Travelling salesman problem is one of the most extensively studied
optimization problem that is used to find the shortest possible route.
TSP has many applications including following:
1. The delivery of meals to office persons.
2. Manufacture of microchips.
3. The routing of courier trucks.
4. The routing of any salesman.
5. Objective function
The mathematical formulation of the problem can be as in Eq.
Where,
d(i,j)- Distance travelled from city ‘i’ to city ‘j’.
x(i.j) –cost of travel from city ‘i’ to city ’j’.
min
x
x(i, j)d(i, j)
j 1
n
i 1
n
s.t.
x(i, j) 1, i 1,2,...,n
j 1
n
x(i, j) 1, j 1,2,...,n
i 1
n
x(i, j) S 1, S {1,2,...,n}
i , jS
n
x(i, j) {0,1}
7. CONCLUSION
Travelling salesman problem is one of the most extensively studied
optimization problem that is used to find the shortest possible route.
By knowing or solving the Travelling salesman problem we get the
optimal travelling distance/path cost.
We should know which appropriate method to be used while solving
TSP.