@article{697404,
      author = {Astudillo, Leslie, and Melin, Patricia, and Castillo,  Oscar,},
      url = {http://library.usi.edu/record/697404},
      title = {Chemical optimization algorithm for fuzzy controller  design [electronic resource]  /},
      abstract = {In this book, a novel optimization method inspired by a  paradigm from nature is introduced. The chemical reactions  are used as a paradigm to propose an optimization method  that simulates these natural processes. The proposed  algorithm is described in detail and then a set of typical  complex benchmark functions is used to evaluate the  performance of the algorithm. Simulation results show that  the proposed optimization algorithm can outperform other  methods in a set of benchmark functions. This chemical  reaction optimization paradigm is also applied to solve the  tracking problem for the dynamic model of a unicycle mobile  robot by integrating a kinematic and a torque controller  based on fuzzy logic theory. Computer simulations are  presented confirming that this optimization paradigm is  able to outperform other optimization techniques applied to  this particular robot application},
      doi = {https://doi.org/10.1007/978-3-319-05245-8},
      recid = {697404},
      pages = {1 online resource (viii, 77 pages) :},
}