Offline training for improving online performance of a genetic algorithm based optimization model for hourly multi-reservoir operation Article

Chen, Duan, Leon, Arturo S, Engle, Samuel P et al. (2017). Offline training for improving online performance of a genetic algorithm based optimization model for hourly multi-reservoir operation . ENVIRONMENTAL MODELLING & SOFTWARE, 96 46-57. 10.1016/j.envsoft.2017.06.038

International Collaboration

cited authors

  • Chen, Duan; Leon, Arturo S; Engle, Samuel P; Fuentes, Claudio; Chen, Qiuwen

sustainable development goals

authors

publication date

  • October 1, 2017

published in

keywords

  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • DESIGN
  • Engineering
  • Engineering, Environmental
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • FLOW
  • Genetic algorithm
  • KARHUNEN-LOEVE
  • Karhunen-Loeve expansion
  • Life Sciences & Biomedicine
  • Machine learning
  • Model training
  • Physical Sciences
  • RULES
  • Reservoir operation
  • SIMULATION
  • SYSTEM
  • Science & Technology
  • Technology
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCI LTD

start page

  • 46

end page

  • 57

volume

  • 96