Operations Research in the Airline Industry

Yu, Gang

doi:10.1007/978-1-4615-5501-8

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2004

Publication Types

Select...

Book3

Article2

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 44 publications

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Crew roster scheduling by the extended cooperative genetic algorithm

Adachi

Kobayashi

2004

Electron Comm Jpn Pt III

View full text Add to dashboard Cite

SUMMARYA hybrid scheme that combines an annealing method and an extended cooperative genetic algorithm (cGA) obtained by treating the problem of scheduling a flight crew roster as a multiobjective problem is proposed. The setting of the problem of scheduling of an airplane operating crew roster and the construction of the solution method for multiobjective optimization are discussed and the efficacy of the scheme proposed is verified.

show abstract

Crew roster scheduling by the extended cooperative genetic algorithm

Adachi

Kobayashi

2004

Electron Comm Jpn Pt III

View full text Add to dashboard Cite

show abstract

Application of genetic algorithm to flight schedule planning

Adachi

Sato

Kobayashi

2004

Systems & Computers in Japan

View full text Add to dashboard Cite

SUMMARYThe authors developed a system that automatically creates regular aircraft flight schedules and minimizes the total number of aircraft required. Since the target problems are real-world problems having constraints that are intertwined in a complex manner, the authors used a genetic algorithm to achieve the optimization. In this paper, the authors describe the problem setup and genetic algorithm configuration and verify the algorithm's effectiveness through experiments using real data.

show abstract