A real vehicle scheduling problem conceming the urban public A transportation system of the city of Mestre (Venice) has been approached by a Genetic Algorithm enhanced using redundancies. Redundant alleles fix the string at cross-over positions in order to improve solution feasibility. The scheduling problem has been studied both as a single and as a multiple objective optimisation problem. A significant reduction of resources as compared to the currently used solution has been achieved.
Genetic Algorithm with redundancies for Vehicle Scheduling Problem
POLONI, CARLO;UKOVICH, WALTER
1995-01-01
Abstract
A real vehicle scheduling problem conceming the urban public A transportation system of the city of Mestre (Venice) has been approached by a Genetic Algorithm enhanced using redundancies. Redundant alleles fix the string at cross-over positions in order to improve solution feasibility. The scheduling problem has been studied both as a single and as a multiple objective optimisation problem. A significant reduction of resources as compared to the currently used solution has been achieved.File in questo prodotto:
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