INVESTIGADORES
OLIVERA Ana carolina
artículos
Título:
Bus Network Optimization with a Time-Dependent Hybrid Algorithm
Autor/es:
A.C. OLIVERA; M. FRUTOS; J.A. CARBALLIDO; N.B. BRIGNOLE
Revista:
Journal of Universal Computer Science
Editorial:
Graz University of Technology, Austria, and Universiti Malaysia Sarawak, Malasia, with the support of Know-Center, Austria.
Referencias:
Lugar: Graz; Año: 2008 vol. 14 p. 2512 - 2531
ISSN:
0948-6968
Resumen:
This paper describes a new hybrid technique that combines a Greedy Randomized Adaptive Search Procedure (GRASP) and a genetic algorithm with simulation features in order to solve the Bus-Network Scheduling Problem (BNSP). The GRASP is used as an initialization method to find the routes between bus stops. The Genetic Algorithm is used to find the whole configuration of the bus network, together with a simulation tool that finds the values of the environmentally dependent dynamic variables. The new method was tested with an academic case of study, and the results clearly satisfy the requirements of both the transport user and the transport operator.