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Diversity Analysis of Population in Shuffled Frog Leaping Algorithm

  • Lianguo Wang
  • Yaxing Gong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)

Abstract

The diversity of population is an important indicator for measuring optimal performance of swarm intelligence algorithms. The effect of three operators of Shuffled Frog Leaping Algorithm (SFLA) on the diversity of population and the average optimization results were analyzed in this paper by means of the simulation experiments. The results show that removing the global extreme learning operator will not only maintain the higher diversity of population, but also improve the operating speed and the optimization precision of the algorithm.

Keywords

swarm intelligence shuffled frog leaping algorithm diversity of population function optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lianguo Wang
    • 1
    • 2
  • Yaxing Gong
    • 2
  1. 1.College of Information Science and TechnologyGansu Agricultural UniversityLanzhouChina
  2. 2.College of EngineeringGansu Agricultural UniversityLanzhouChina

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