Metaheuristics for Air Traffic Management : 2

Durand, Nicolas, Gianazza, David, Jean, Baptiste Gotteland and Jean, Marc Alliot (2016) Metaheuristics for Air Traffic Management : 2. ISTE and Wiley, UK and USA. ISBN 978-1-84821-810-9

Text Metaheuristics for Air Traffic Management by Nicolas Durand, David Gianazza, Jean-Baptiste Gotteland, Jean-Marc Alliot (z-lib.org).pdf - Published Version Download (8MB)

Abstract

Air Traffic Management involves many different services such as Airspace Management, Air Traffic Flow Management and Air Traffic Control. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties. Metaheuristics are often good candidates to solve these problems. The book models various complex Air Traffic Management problems such as airport taxiing, departure slot allocation, en route conflict resolution, airspace and route design. The authors detail the operational context and state of art for each problem. They introduce different approaches using metaheuristics to solve these problems and when possible, compare their performances to existing approaches

Item Type:	Book
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Mr Perpustakaan Poltekbang Surabaya
Date Deposited:	29 Nov 2021 02:31
Last Modified:	29 Nov 2021 02:31
URI:	http://repo.poltekbangsby.ac.id/id/eprint/90

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