"Nested genetic algorithm to collaborative school buses routing problem"
Marcela Torne-Acosta, Juan P. Orejuela-Cabrera and Claudia C. Pena -Montoya

This document presents a methodology based on nested genetic algorithms to solve collaborative school buses routing problem. In this problem, there are a set of parents who are willing to send their children to a set node to be picked up by the bus. This set node represents the location of a sub-set of parents that are trust and are willing to receive the children and take them to the route. Parents who send and receive the children have a discount in the transport rate as a collaboration strategy, which reduce the number of nodes to visit and the total journey time. It is necessary to establish the number of collaborations which maximize the global benefit because the parents received a benefit which is actually a cost to the system.