An Adaptive Hybrid Evolutionary Approach for a Project Scheduling Problem that Maximizes the Effectiveness of Human Resources. Yannibelli, V. In Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22-27, 2018, Proceedings, Part I, pages 33–49, 2018. Paper doi bibtex @InProceedings{ dblp:conf/micai/yannibelli18,
author = {Virginia Yannibelli},
title = {An Adaptive Hybrid Evolutionary Approach for a Project
Scheduling Problem that Maximizes the Effectiveness of
Human Resources},
booktitle = {Advances in Soft Computing - 17th Mexican International
Conference on Artificial Intelligence, {MICAI} 2018,
Guadalajara, Mexico, October 22-27, 2018, Proceedings, Part
{I}},
pages = {33--49},
year = {2018},
crossref = {DBLP:conf/micai/2018-1},
url = {https://doi.org/10.1007/978-3-030-04491-6\_3},
doi = {10.1007/978-3-030-04491-6\_3},
timestamp = {Tue, 14 May 2019 10:00:49 +0200},
biburl = {https://dblp.org/rec/conf/micai/Yannibelli18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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