Research Article
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 |
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