A genetic algorithm to solve the order picking problem in a warehouse with systematic item distribution
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Author (Corporation)
Publication date
2022
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)
Special issue
DOI of the original publication
Series
Lecture Notes in Networks and Systems
Series number
417
Volume
Issue / Number
Pages / Duration
586–597
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Keywords
Subject (DDC)
Event
13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)
Exhibition start date
Exhibition end date
Conference start date
15.12.2021
Conference end date
17.12.2021
Date of the last check
ISBN
978-3-030-96302-6
978-3-030-96301-9
978-3-030-96301-9
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Frey, E., Orefice, M., Hanne, T., & Dornberger, R. (2022). A genetic algorithm to solve the order picking problem in a warehouse with systematic item distribution. In A. Abraham, A. Engelbrecht, F. Scotti, N. Gandhi, P. M. Mishra, G. Fortino, V. Sakalauskas, & S. Pllana (Eds.), Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) (pp. 586–597). Springer. https://doi.org/10.1007/978-3-030-96302-6_55