Improving Travels of the Public Transport System of Guadalajara Using ACO

This paper presents the application of ant algorithm to improve public transport route in the metropolitan area of Guadalajara. We use a methodology with an eight-step sequence in which it is possible to: 1. Identify the problem, 2. Identify the sources of information, 3. Prepare the census to collect the data. 4. Raise the information, 5. Analyze the data, 6. Treat the information, 7. Implement the algorithm and 8. Analyze the results. We use a methodology with an eight-step sequence in which it is possible to: 1. Identify the problem, 2. Identify the sources of information, 3. Prepare the census to collect the data. 4. Raise the information, 5. Analyze the data, 6. Treat the information, 7. Implement the algorithm and 8. Analyze the results. The contribution is to improve the routing Public transport in the ZMG through the implementation of Bio-inspired algorithms that will shorten the distance and the time of Travel from origin to destination.