Hybrid differential evolution and the simplified quadratic interpolation for global optimization

  • Authors:

  • Li Zhang;Yong Chang Jiao;Hong Li;Fu Shun Zhang

  • Affiliations:

  • National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, China;National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, China;National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, China;National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, China

  • Venue:
  • Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
  • Year:
  • 2009

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Abstract

To improve the searching ability and convergence speed of differential evolution (DE), we combined a search operation for enhancing the performance of the original DE. The simplified quadratic interpolation (SQI) is employed to improve the local search ability and the accuracy of the minimum function value, and to reduce greatly the computational overhead of the algorithm. The classic benchmark test functions are employed to evaluate the performance of the proposed method. We also provide a comparison of the proposed method to fuzzy adaptive differential evolution (FADE). Experimental results confirm that the proposed method outperforms the original DE and FADE in terms of convergence speed, solution quality, and solution stability.