Tsp

class Tsp(graph)

Bases: GraphOptimizationApplication

Optimization application for the «traveling salesman problem» [1] based on a NetworkX graph.

Referencias

[1]: «Travelling salesman problem», https://en.wikipedia.org/wiki/Travelling_salesman_problem

Parámetros:

graph (Graph | ndarray | List) – A graph representing a problem. It can be specified directly as a NetworkX graph, or as an array or list format suitable to build out a NetworkX graph.

Attributes

graph

Getter of the graph

Devuelve:

A graph for a problem

Methods

static create_random_instance(n, low=0, high=100, seed=None)

Create a random instance of the traveling salesman problem

Parámetros:

• n (int) – the number of nodes.

• low (int) – The minimum value for the coordinate of a node.

• high (int) – The maximum value for the coordinate of a node.

• seed (int) – the seed for the random coordinates.

Devuelve:

A Tsp instance created from the input information

Tipo del valor devuelto:

Tsp

draw(result=None, pos=None)

Draw a graph with the result. When the result is None, draw an original graph without colors.

Parámetros:

• result (OptimizationResult | ndarray | None) – The calculated result for the problem

• pos (Dict[int, ndarray] | None) – The positions of nodes

interpret(result)

Interpret a result as a list of node indices

Parámetros:

result (OptimizationResult | ndarray) – The calculated result of the problem

Devuelve:

A list of nodes whose indices correspond to its order in a prospective cycle.

Tipo del valor devuelto:

List[int | List[int]]

static parse_tsplib_format(filename)

Read a graph in TSPLIB format from file and return a Tsp instance.

Parámetros:

filename (str) – the name of the file.

Muestra:

• QiskitOptimizationError – If the type is not «TSP»

• QiskitOptimizationError – If the edge weight type is not «EUC_2D»

Devuelve:

A Tsp instance data.

Tipo del valor devuelto:

Tsp

static sample_most_likely(state_vector)

Compute the most likely binary string from state vector.

Parámetros:

state_vector (QuasiDistribution | Statevector | ndarray | Dict) – state vector or counts or quasi-probabilities.

Devuelve:

binary string as numpy.ndarray of ints.

Muestra:

ValueError – if state_vector is not QuasiDistribution, Statevector, np.ndarray, or dict.

Tipo del valor devuelto:

ndarray

to_quadratic_program()

Convert a traveling salesman problem instance into a QuadraticProgram

Devuelve:

The QuadraticProgram created from the traveling salesman problem instance.

Tipo del valor devuelto:

QuadraticProgram

static tsp_value(z, adj_matrix)

Compute the TSP value of a solution. :param z: list of cities. :param adj_matrix: adjacency matrix.

Devuelve:

value of the total length

Tipo del valor devuelto:

float