01408cam a22002057i 4500 35355 35355 151026t20162016enka b 001 0 eng d 1848218109 9781848218109 Metaheuristics for air traffic management / Nicolas Durand, David Gianazza, Jean-Baptiste Gotteland, Jean-Marc Alliot. London : ISTE Ltd, 2016. Hoboken : John Wiley & Sons, Inc., 2016. xi, 194 p. : ill. ; 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. Air traffic control Management. Gianazza, David, Gotteland, Jean-Baptiste, Alliot, J.-M. BK TL725.3.T7 D87 2016 0 0 lcc 0 0 NFIC MAIN MAIN OOER 2021-07-13 PHC 0 TL 725.3 .T7D87 2016 0039458 2021-07-13 00:00:00 1 2021-07-13 BK