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Springer Computational Intelligence in Integrated Airline Scheduling - Springer

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Description

This Springer text explores two distinct planning approaches for integrated airline scheduling: the traditional sequential method and a modern simultaneous approach using metaheuristics. Airline schedule optimization represents the most critical and complex planning task in aviation operations, with the primary objective of maximizing operating profit. The book examines how computational intelligence techniques can streamline scheduling processes that have historically been performed through conventional methods. Written for airline managers, operations professionals, and computer science students, this volume offers practical insights into how metaheuristics can transform the way airlines approach schedule development, resource allocation, and profit optimization. Part of the Studies in Computational Intelligence series, this 173rd volume bridges the gap between theoretical computational methods and real-world airline operational challenges.

Key Features

Presents both traditional sequential and simultaneous metaheuristic approaches to airline scheduling problems.

Focuses on airline schedule optimization techniques designed to maximise operating profit margins.

Part of Springer's Studies in Computational Intelligence series, volume 173.

Addresses the complex planning challenges that airlines face in schedule development.

Suitable for airline managers, operations professionals, and computational intelligence researchers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 October 2010
Listed Since
28 December 2010

Barcode

No barcode data available

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