25th Congress of International Council of the Aeronautical Sciences, 3 - 8 September 2006, Hamburg, Germany
Paper ICAS 2006-8.5.2

INCREASING RUNWAY CAPACITY USING GENETIC ALGORITHMS AND ENHANCED HEURISTICS

Á. Kovács
Budapest Univ. of Technology and Economics, Hungary

Keywords: genetic algorithms, sequencing, neural networks, heuristics

The paper aims to present a method to increase runway capacity by planning optimal sequences with genetic algorithms using enhanced heuristics and parameter estimation with neural networks. Timed Stochastic Coloured Petri Net model of the runway is used to generate pre-optimised sequences as the initial population of the genetic algorithm.

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