@article{1443978,
      recid = {1443978},
      author = {Kumar, B. Vinoth, and Oliva, Diego, and Suganthan,  Ponnuthurai Nagaratnam,},
      title = {Differential evolution : from theory to practice /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource},
      year = {2022},
      abstract = {This book addresses and disseminates state-of-the-art  research and development of differential evolution (DE) and  its recent advances, such as the development of adaptive,  self-adaptive and hybrid techniques. Differential evolution  is a population-based meta-heuristic technique for global  optimization capable of handling non-differentiable,  non-linear and multi-modal objective functions. Many  advances have been made recently in differential evolution,  from theory to applications. This book comprises  contributions which include theoretical developments in DE,  performance comparisons of DE, hybrid DE approaches,  parallel and distributed DE for multi-objective  optimization, software implementations, and real-world  applications. The book is useful for researchers,  practitioners, and students in disciplines such as  optimization, heuristics, operations research and natural  computing.},
      url = {http://library.usi.edu/record/1443978},
      doi = {https://doi.org/10.1007/978-981-16-8082-3},
}