Fatima Benbouzid-Si Tayeb, Malika Bessedik, Mohamed Benbouzid, Hamza Cheurfi, Ammar Blizak. Research on Permutation Flow-shop Scheduling Problem based on Improved Genetic Immune Algorithm with vaccinated offspring. In Cecilia Zanni-Merk, Claudia S. Frydman, Carlos Toro 0001, Yulia Hicks, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, Marseille, France, 6-8 September 2017. Volume 112 of Procedia Computer Science, pages 427-436, Elsevier, 2017. [doi]
@inproceedings{TayebBBCB17,
title = {Research on Permutation Flow-shop Scheduling Problem based on Improved Genetic Immune Algorithm with vaccinated offspring},
author = {Fatima Benbouzid-Si Tayeb and Malika Bessedik and Mohamed Benbouzid and Hamza Cheurfi and Ammar Blizak},
year = {2017},
doi = {10.1016/j.procs.2017.08.055},
url = {https://doi.org/10.1016/j.procs.2017.08.055},
researchr = {https://researchr.org/publication/TayebBBCB17},
cites = {0},
citedby = {0},
pages = {427-436},
booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, Marseille, France, 6-8 September 2017},
editor = {Cecilia Zanni-Merk and Claudia S. Frydman and Carlos Toro 0001 and Yulia Hicks and Robert J. Howlett and Lakhmi C. Jain},
volume = {112},
series = {Procedia Computer Science},
publisher = {Elsevier},
}