Metaheuristics for Air Traffic Management (Computer Engineering: Metaheuristics Set, 2)

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

Nicolas Durand, Professor at ENAC (Ecole Nationale de l'Aviation Civile).

David Gianazza, Assistant Professor at ENAC (Ecole Nationale de l'Aviation Civile).

Jean-Baptiste Gotteland, Assistant Professor at ENAC (Ecole Nationale de l'Aviation Civile).

Jean-Marc Alliot, Research Director IRIT (Institut de Recherche en Informatique de Toulouse).