An Improved Cuckoo Search Optimization Algorithm for the Problem of Chaotic Systems Parameter Estimation

Algorithm 1

Basic cuckoo search algorithm.

Begin

 Generate iteration time

 Initialized with random vector values and parameters

 Evaluate the fitness of each individual (nest) and determine the best individual with the best fitness value

 While (stopping criterion is not met or t < MaxGeneration)

  Get a Cuckoo randomly by local random walk or Lévy Flights

  Evaluate its fitness

  Choose a nest among (say, ) randomly

  If ()

   replace by the new nest

  End If

  A fraction () of worse nests are abandoned and new ones are built

  Keep the best nests with quality solutions

  Rank the solutions and find the current best

  Update the generation number

 End while

End