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.
An Adaptive Hybrid Evolutionary Approach for a Project Scheduling Problem that Maximizes the Effectiveness of Human Resources [link]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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