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논문검색

Study of Effect on Performance of DE/BBO on Changing Parametric Values

초록

영어

DE\BBO is the hybridization of Differential Evolution optimization and Biogeography Based Optimization. DE is considered to have good exploration ability and BBO is considered to have good exploitation ability, to achieve goodness of both techniques, these techniques have been combined. Hybridization of Differential evaluation and biogeography based optimization dominates the performance of biogeography based optimization. The influencing factors of performance of DE are scaling factor and cross-over rate which are used to track proper optimization. In this paper, it has been shown how DE/BBO outperforms BBO. The change in the performance of DE/BBO due to variation in some pre-considered variables has also been highlighted. It has been observed that DE/BBO performs best when scaling factor is 0.11 and cross over rate is 0.2.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Concept of Hybridization of DE\BBO
 4. Fluctuation in Results by Varying F and CR values
 5. Comparative Analysis of BBO and DE\BBO
 6. Conclusion and Future Scope
 References

저자정보

  • Ekta Department of Computer Science, GNDU, RC, Jalandhar
  • Mandeep Kaur Department of Computer Science, GNDU, RC, Jalandhar

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