@article{1435358,
      recid = {1435358},
      author = {Zarges, Christine, and Verel, Sébastien,},
      title = {Evolutionary computation in combinatorial optimization :  21st European Conference, EvoCOP 2021, held as part of  EvoStar 2021, virtual event, April 7-9, 2021, proceedings  /. EvoCOP (Conference)},
      pages = {1 online resource (xiv, 237 pages) :},
      abstract = {This book constitutes the refereed proceedings of the 21st  European Conference on Evolutionary Computation in  Combinatorial Optimization, EvoCOP 2021, held as part of  Evo*2021, as Virtual Event, in April 2021, co-located with  the Evo*2021 events: EvoMUSART, EvoApplications, and  EuroGP. The 14 revised full papers presented in this book  were carefully reviewed and selected from 42 submissions.  They cover a wide spectrum of topics, ranging from the  foundations of evolutionary algorithms and other search  heuristics to their accurate design and application to  combinatorial optimization problems. Fundamental and  methodological aspects deal with runtime analysis, the  structural properties of fitness landscapes, the study of  core components of metaheuristics, the clever design of  their search principles, and their careful selection and  configuration. Applications cover problem domains such as  scheduling, routing, search-based software engineering and  general graph problems. The range of topics covered in this  volume reflects the current state of research in the fields  of evolutionary computation and combinatorial  optimization.},
      url = {http://library.usi.edu/record/1435358},
      doi = {https://doi.org/10.1007/978-3-030-72904-2},
}