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논문검색

An Effective Krill Herd Algorithm for Numerical Optimization

원문정보

Songwei Huang, Lifang He, Xu Si, Yuanyuan Zhang, Pengyu Hao

보안공학연구지원센터(IJHIT) International Journal of Hybrid Information Technology Vol.9 No.7 2016.07 pp.127-138
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

The krill herd (KH) algorithm is a novel swarm intelligent algorithm which is inspired the herding behavior of the krill swarms. The various test results in the relevant literature show that the KH algorithm has better performance than the other swarm intelligent algorithm for optimization problem. In order to further improve the performance of the KH algorithm, an improved KH is proposed in this paper. The algorithm is performed on ten test functions and the results are compared with the basic KH algorithm, PSO, DE and GA algorithm. The experimental results indicate that the improved algorithm is a good method for numerical optimization problem.

목차

Abstract
 1. Introduction
 2. Brief Explanations of the Basic Krill Herd Algorithm
 3. Improved Krill Herd Algorithm
 4. Experiments and Discussion
  4.1. Comparison with the Basic KH Algorithm
  4.2. Comparison with Other Algorithm
 5. Summary
 Acknowledgements
 References

키워드

저자정보

  • Songwei Huang School of Land Resource Engineering, Kunming University of Science and Technology, Kunming 510000, China
  • Lifang He School of Electronic Information, Kunming University of Science and Technology, Kunming 510000, China
  • Xu Si School of Electronic Information, Kunming University of Science and Technology, Kunming 510000, China
  • Yuanyuan Zhang School of Electronic Information, Kunming University of Science and Technology, Kunming 510000, China
  • Pengyu Hao School of Electronic Information, Kunming University of Science and Technology, Kunming 510000, China

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