Adaptive genetic algorithms guided by decomposition for PCSPs: application to frequency assignment problems
- DOI
- 10.1007/s11704-016-4552-4
- Published
- 2016-12
- Container
- Frontiers of Computer Science
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s11704-016-4552-4,
title = {Adaptive genetic algorithms guided by decomposition for PCSPs: application to frequency assignment problems},
author = {Lamia Sadeg-Belkacem and Zineb Habbas and Wassila Aggoune-Mtalaa},
year = {2016},
journal = {Frontiers of Computer Science},
doi = {10.1007/s11704-016-4552-4},
url = {https://doi.org/10.1007/s11704-016-4552-4}
}RIS
TY - JOUR TI - Adaptive genetic algorithms guided by decomposition for PCSPs: application to frequency assignment problems AU - Lamia Sadeg-Belkacem AU - Zineb Habbas AU - Wassila Aggoune-Mtalaa PY - 2016 JO - Frontiers of Computer Science DO - 10.1007/s11704-016-4552-4 UR - https://doi.org/10.1007/s11704-016-4552-4 ER -
APA
Sadeg-Belkacem, L., Habbas, Z., & Aggoune-Mtalaa, W. (2016). Adaptive genetic algorithms guided by decomposition for PCSPs: application to frequency assignment problems. Frontiers of Computer Science. https://doi.org/10.1007/s11704-016-4552-4
Source records
- hal · retrieved 2026-09-25T11:42:53.666Z