Optimalisatie van openbaar vervoersystemen met simulated annealing en genetische algorithmen.

Author(s)
Stada, J.E. & Hamerslag, R.
Year
Abstract

The principles of simulated annealing and genetic algorithms are described in a general way. Both methods are applied to the optimization of the public transport system of a schematic but realistic city. The problem consists of choosing a limited number of routes from about twenty possible routes, such that an economic goal function is optimized. The results of these new algorithms are compared to the results obtained by a more conventional (greedy) algorithm. (A)

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Publication

Library number
C 3465 (In: C 3398 [electronic version only]) /71 / IRRD 871600
Source

In: Colloquium Vervoersplanologisch Speurwerk CVS 1994 : implementatie van beleid : de moeizame weg van voornemens naar actie : bundeling van bijdragen aan het colloquium gehouden te Rotterdam op 24 en 25 november 1994, Deel 3, p. 1229-1248, 11 ref.

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