Computational Intelligence in Integrated Airline Scheduling

Computational Intelligence in Integrated Airline Scheduling

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The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.(2006) solve the aircraft maintenance routing problem to create robust schedules. The objective is to find an aircraft routing that is less susceptible to flight delays and does not propagate a single disruption through the following flights.

Title:Computational Intelligence in Integrated Airline Scheduling
Author: Tobias Grosche
Publisher:Springer Science & Business Media - 2009-02-26

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