Optimization of bus routes and stops

OTEIZA P. P.; OTEIZA P. P.; BRIGNOLE N. B.; BRIGNOLE N. B.; RODRIGUEZ D. A.; RODRIGUEZ D. A.

Bologna

Conferencia; EURO/ALIO International Conference 2018 on Applied Combinatorial Optimization; 2018

International Federation of Operational Research Societies (IFORS)

Colony Optimization. Moreover, parallel programming was implemented to reduce computational times. The first algorithmic version [2] was significantly improved and the number of evaluations related to the ensuing solutions was successfully minimized. Larger instances were tested (300 stops in 30 zones) and computational times decreased in 15%. This algorithmic development is part of an integral Project [3] that aims at the creation of computational tools for the design of Bahía Blanca city with a future perspective of efficient organization.[1] Prodhon, C., and C. Prins, A survey of recent research on location-routing problems, European Journal of Operational Research 238 (2014), 1-17.[2] Rodriguez D. A., P. P. Oteiza, and N. B. Brignole, Hiperheur´ıstica para el Planeamiento del Transporte Pu´blico, CICCSI 2017, Mendoza, Argentina (2017).[3] Brignole N. B. and V. N. Viego, ?Proyecto CIC: PIT-AP-BA?, Resoluci´on 428-9/16, Argentina (2017).