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Metaheuristics for air traffic manag...

Durand, Nicolas

Metaheuristics for air traffic management

紀錄類型:	書目-語言資料,印刷品 : 單行本
其他作者:	DurandNicolas,
出版地:	London
出版者:	ISTE; Wiley;
出版年:	2016
面頁冊數:	xi, 194 p.ill., maps : 24 cm.;
集叢名:	Computer engineering series
標題:	Air traffic control - Management -
附註:	Includes bibliographical references (p. [181]-192) and index
摘要註:	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
ISBN:	978-1-84821-810-9

Metaheuristics for air traffic management
Metaheuristics for air traffic management / Nicolas Durand ... [et al.] - London : ISTE, 2016. - xi, 194 p. ; ill., maps ; 24 cm.. - (Computer engineering series).
Includes bibliographical references (p. [181]-192) and index.
ISBN 978-1-84821-810-9
Air traffic control -- Management

Durand, Nicolas

Metaheuristics for air traffic management
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330 $a 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
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