# Traveling salesman problem tsp to 10 till 100 city in c

The following C project contains the C source code and C examples used for traveling salesman problem [tsp] to 10 till 100 city. To solving Traveling Salesman Problem(TSP) for 10 till 100 city with localsearch --> fitness --> selection_crossover --> selection_mutation --> crossover_pmx --> mutation_bim --> cluster_offspring_crossover_mutation --> localsearch2 --> show_population_new .

# Fixed endpoints open multiple traveling salesmen problem genetic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for fixed endpoints open multiple traveling salesmen problem genetic algorithm. MTSPOF_GA Fixed Open Multiple Traveling Salesmen Problem (M-TSP) Genetic Algorithm (GA)   Finds a (near) optimal solution to a variation of the "open" M-TSP by   setting up a GA to search for the shortest route (least distance needed   for each salesman to travel from the start location to unique   individual cities and finally to the end location) Summary: 1.

# Traveling salesman problem nearest neighbor in matlab

The following Matlab project contains the source code and Matlab examples used for traveling salesman problem nearest neighbor. TSP_NN Traveling Salesman Problem (TSP) Nearest Neighbor (NN) Algorithm   The Nearest Neighbor algorithm produces different results depending on   which city is selected as the starting point.

# Solution for travelling salesman problem in matlab

The following Matlab project contains the source code and Matlab examples used for solution for travelling salesman problem . Solution for The Travelling Salesman Problem: - A salesman has to visit a number of cities in a single closed tour.

# Traveling salesman problem (tsp) using simulated annealing in matlab

The following Matlab project contains the source code and Matlab examples used for traveling salesman problem (tsp) using simulated annealing. simulatedannealing() is an optimization routine for traveling salesman problem.

# Ant colony optimization techniques applied on travelling salesman problem in matlab

The following Matlab project contains the source code and Matlab examples used for ant colony optimization techniques applied on travelling salesman problem. The selection route which each ant will select is based on maximum probability criteria, and the amount pheromone remains on each route between two cities.

# Fixed start end point multiple traveling salesmen problem genetic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for fixed start end point multiple traveling salesmen problem genetic algorithm. MTSPF_GA Fixed Multiple Traveling Salesmen Problem (M-TSP) Genetic Algorithm (GA)   Finds a (near) optimal solution to a variation of the M-TSP by setting   up a GA to search for the shortest route (least distance needed for   each salesman to travel from the start location to individual cities   and back to the original starting place) Summary: 1.

# Fixed start open multiple traveling salesmen problem genetic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for fixed start open multiple traveling salesmen problem genetic algorithm. MTSPOFS_GA Fixed Start Open Multiple Traveling Salesmen Problem (M-TSP) Genetic Algorithm (GA)   Finds a (near) optimal solution to a variation of the "open" M-TSP by   setting up a GA to search for the shortest route (least distance needed   for each salesman to travel from the start location to unique individual   cities without returning to the starting location) Summary: 1.

# Travelling salesman problem with genetic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for travelling salesman problem with genetic algorithm. http://simulations.

# Traveling salesman problem genetic algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for traveling salesman problem genetic algorithm. TSP_GA Traveling Salesman Problem (TSP) Genetic Algorithm (GA)   Finds a (near) optimal solution to the TSP by setting up a GA to search   for the shortest route (least distance for the salesman to travel to   each city exactly once and return to the starting city) Summary: 1.