Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Memetic Algorithm

Jenny Fajardo Calderín, Antonio D. Masegosa, Alejandro Rosete-Suárez, David A. Pelta. Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Memetic Algorithm. In Germán Terrazas, Fernando E. B. Otero, Antonio D. Masegosa, editors, Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) - Learning, Optimization and Interdisciplinary Applications, Canterbury, UK, September 2-4, 2013. Volume 512 of Studies in Computational Intelligence, pages 85-97, Springer, 2013. [doi]

@inproceedings{CalderinMRP13,
  title = {Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Memetic Algorithm},
  author = {Jenny Fajardo Calderín and Antonio D. Masegosa and Alejandro Rosete-Suárez and David A. Pelta},
  year = {2013},
  doi = {10.1007/978-3-319-01692-4_7},
  url = {http://dx.doi.org/10.1007/978-3-319-01692-4_7},
  researchr = {https://researchr.org/publication/CalderinMRP13},
  cites = {0},
  citedby = {0},
  pages = {85-97},
  booktitle = {Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) - Learning, Optimization and Interdisciplinary Applications, Canterbury, UK, September 2-4, 2013},
  editor = {Germán Terrazas and Fernando E. B. Otero and Antonio D. Masegosa},
  volume = {512},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-319-01691-7},
}