A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function

Jhen Jai Hu, Yu Te Su, Tzuu Hseng S. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Basing on the simulation of a social metaphor instead of the survival of the fittest individual paradigm, particle swarm optimization is a population-based swarm intelligence algorithm. Inspired by the conventional particle swarm method, ecological theory, and biological theory, this work proposes a novel ecological-biological-behaved particle swarm optimization (EBB-PSO) algorithm using logical growth model with symbiotic relationship. The simulation results demonstrate good performance of the proposed algorithm in solving a significant benchmark problem in multi-modal function, namely the Ackley's problem.

Original languageEnglish
Title of host publication3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Pages377-380
Number of pages4
DOIs
Publication statusPublished - 2010 Sep 3
Event2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 - Tainan, Taiwan
Duration: 2010 May 52010 May 7

Publication series

Name3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Volume2

Other

Other2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
CountryTaiwan
CityTainan
Period10-05-0510-05-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering

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