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Goldberg, D.E. (1989), “Genetic Algorithms in Search, Optimization and Machine Learning,” Kluwer Academic Publishers.

has been cited by the following article:

• TITLE: Optimization of Threshold for Energy Based Spectrum Sensing Using Differential Evolution

  AUTHORS: K. Aravind Narayanan, P. Arun Shivaram, M. Maheshkumar, Santhoshkumar. K, L. Sathiesh Kumar, K.A Narayanankutty

  KEYWORDS: Cognitive Radio, Spectrum Sensing, Differential Evolution

  JOURNAL NAME: Wireless Engineering and Technology, Vol.2 No.3, July 6, 2011

  ABSTRACT: Interference threshold based on energy setting in cognitive radios is a non-convex optimization problem [4]. The convergence of optimization techniques like Genetic algorithm (GA) takes several iterations to fix this threshold. Here, an attempt made to use Differential evolution (DE) method for optimization after formulating the objective functions. The advantages with this method were three fold over GA. They were, a. A reduced number of iterations, b. Marginal improvement and consistency of throughput and c. Localization of the best solution. The comparative results are presented and discussed.