A binary differential evolution algorithm for airline revenue management: a case study

Thumbnail Image
Files
A_binary_differential_evolution_algorithm_for_airline_revenue_management_a_case_study.pdf(745.32 KB)
Authors
Author (Corporation)
Publication date
2020
Type of student thesis
Course of study
Collections
Institute for Information Systems
Full item page
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Soft Computing
Special issue
DOI of the original publication
https://doi.org/10.1007/s00500-020-04790-2
URI
https://irf.fhnw.ch/handle/11654/42932
https://doi.org/10.26041/fhnw-6897
Link
Related research data
Series
Series number
Volume
24
Issue / Number
Pages / Duration
14221-14234
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
London
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Keywords
Subject (DDC)
330 - Wirtschaft
Project
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1433-7479
1432-7643
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
peer-reviewed
Open access category
Closed
License
Citation
Yazdi, A. K., Kaviani, M. A., Hanne, T., & Ramos, A. (2020). A binary differential evolution algorithm for airline revenue management: a case study. Soft Computing, 24, 14221–14234. https://doi.org/10.1007/s00500-020-04790-2
Full item page