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On the Farther Analysis of Performance of the Artificial Searching Swarm Algorithm

  • Tanggong Chen
  • Lijie Zhang
  • Lingling Pang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

Abstract

Artificial Searching Swarm Algorithm (ASSA) is an intelligent optimization algorithm, and its performance has been analyzed and compared with some famous algorithms. For farther understanding the running principle of ASSA, this work discusses the functions of three behavior rules which decide the moves of searching swarm. Some typical functions are selected to do the simulation tests. The function simulation tests showed that the three behavior rules are indispensability and endow the ASSA with powerful global optimization ability together.

Keywords

artificial searching swarm algorithm bionic intelligent optimization algorithm optimization evolutionary computation swarm intelligence 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Tanggong Chen
    • 1
  • Lijie Zhang
    • 1
  • Lingling Pang
    • 1
  1. 1.Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus ReliabilityHebei University of TechnologyTianjinChina

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