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Brain Storm Optimization Algorithm with Modified Step-Size and Individual Generation

  • Dadian Zhou
  • Yuhui Shi
  • Shi Cheng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7331)

Abstract

Brain Storm Optimization algorithm is inspired from the humans’ brainstorming process. It simulates the problem-solving process of a group of people. In this paper, the original BSO algorithm is modified by amending the original BSO. First the step-size is adapted according to the dynamic range of individuals on each dimension. Second, the new individuals are generated in a batch-mode and then selected into the next generation. Experiments are conducted to demonstrate the performance of the modified BSO by testing on ten benchmark functions. The experimental results show that the modified BSO algorithm performs better than the original BSO.

Keywords

Brain Storm Optimization Adaptive step-size Selection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dadian Zhou
    • Yuhui Shi
      • Shi Cheng
        • 1
      1. 1.Department of Electrical Engineering and ElectronicsUniversity of LiverpoolLiverpoolUK

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