Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Nguyen:2016:CEC,
  author =       "Su Nguyen and Yi Mei and Hui Ma and Aaron Chen and 
                 Mengjie Zhang",
  title =        "Evolutionary Scheduling and Combinatorial
                 Optimisation: Applications, Challenges, and Future
                 Directions",
  booktitle =    "Proceedings of 2016 IEEE Congress on Evolutionary
                 Computation (CEC 2016)",
  year =         "2016",
  editor =       "Yew-Soon Ong",
  pages =        "3053--3060",
  address =      "Vancouver",
  month =        "24-29 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-5090-0623-6",
  DOI =          "doi:10.1109/CEC.2016.7744175",
  abstract =     "Evolutionary scheduling and combinatorial optimisation
                 is an active research area and attracts the attentions
                 of many researchers from computer science and
                 operations research. Many advances have been made in
                 this field and its scope in terms of techniques and
                 applications has been continuously extended. In this
                 position paper, we provide an overall picture of some
                 key challenges in the field, discuss potential future
                 research directions, and give our position in the
                 field. We focus on three major issues that are
                 encountered in practice, namely dynamic changes,
                 multiple interdependent decisions, and multiple
                 objectives. Our view is that the researchers should
                 step out of our comfort zone to deal with messy and
                 complicated issues in real-world applications.",
  notes =        "WCCI2016",
}

Genetic Programming entries for Su Nguyen Yi Mei Hui Ma Aaron Chen Mengjie Zhang

Citations