@inproceedings{c639735308fb4841b3b34edef1b68811,
title = "A new evolutionary hybrid algorithm to solve demand responsive transportation problems",
abstract = "This paper shows the work done in the definition of a new hybrid algorithm that is based on two evolutionary techniques: simulated annealing and genetic algorithms. The new algorithm has been used to solve the problem of finding the optimal route for a bus in a rural area where people are geographically dispersed. The result of the work done is an algorithm that (in a reasonable time) is able to obtain good solutions regardless of the number of stops along a route.",
keywords = "demand responsive transport, genetic algorithm, meta-heuristics, simulated annealing",
author = "Roberto Carballedo and Eneko Osaba and Pablo Fern{\'a}ndez and Asier Perallos",
year = "2011",
doi = "10.1007/978-3-642-19934-9\_29",
language = "English",
isbn = "9783642199332",
series = "Advances in Intelligent and Soft Computing",
pages = "233--240",
editor = "Ajith Abraham and Rodriguez, \{Juan M. Corchado\} and Gonzalez, \{Sara Rodriguez\} and \{Paz Santana\}, Juan",
booktitle = "International Symposium on Distributed Computing and Artificial Intelligence",
}