Quantitative Analysis and Performance Study of Ant Colony Optimization Models Applied to Multi-mode Resource Constraint Project Scheduling Problems. González-Pardo, A., Ser, J. D., & Camacho, D. In Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017, Bilbao, Spain, 22-24 Februar 2017, volume 514, of Advances in Intelligent Systems and Computing, pages 145–154, 2017. Springer.
Quantitative Analysis and Performance Study of Ant Colony Optimization Models Applied to Multi-mode Resource Constraint Project Scheduling Problems [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/ichsa/Gonzalez-PardoS17,
  author    = {Antonio Gonz{\'{a}}lez{-}Pardo and
               Javier Del Ser and
               David Camacho},
  editor    = {Javier Del Ser},
  title     = {Quantitative Analysis and Performance Study of Ant Colony Optimization
               Models Applied to Multi-mode Resource Constraint Project Scheduling
               Problems},
  booktitle = {Harmony Search Algorithm - Proceedings of the 3rd International Conference
               on Harmony Search Algorithm, {ICHSA} 2017, Bilbao, Spain, 22-24 Februar
               2017},
  series    = {Advances in Intelligent Systems and Computing},
  volume    = {514},
  pages     = {145--154},
  publisher = {Springer},
  year      = {2017},
  url       = {https://doi.org/10.1007/978-981-10-3728-3\_15},
  doi       = {10.1007/978-981-10-3728-3\_15},
  timestamp = {Wed, 27 Jun 2018 13:50:07 +0200},
  biburl    = {https://dblp.org/rec/conf/ichsa/Gonzalez-PardoS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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