Limiting pollution in ground control optimization

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Abstract

In this paper we deal with the problem of scheduling aircrafts maneuvering on ground in the specific case study of Malpensa Airport. Given a fixed route and a landing/take off time instant for each landing/departing aircraft, we consider three objective functions in the following lexicographical order: (i) the minimization of the number of tardy aircrafts; (ii) the maximization of the safety; (iii) the minimization of pollution and noise. Problem constraints are related to the safety rules. We model the problem as a job-shop scheduling problem. We develop heuristic procedures based on an alternative graph formulation of the problem to construct and improve feasible solutions. Experimental results based on real data and analysis are reported. © 2011 Springer-Verlag.

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Adacher, L., & Flamini, M. (2011). Limiting pollution in ground control optimization. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6868 LNCS, 41–55. https://doi.org/10.1007/978-3-642-23447-7_5

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