Localizing Multiple odor Sources in a dynamic environment based on Modified niche Particle Swarm Optimization with flow of wind

Wisnu Jatmiko, A. Nugraha, R. Effendi, W. Pambuko, R. Mardian, K. Sekiyama, T. Fukuda

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

A new algorithm based on Modified Particle Swarm Optimization (MPSO) that follows is a local gradient of a chemical concentration within a plume and follows the direction of the wind velocity is investigated. Moreover, the niche characteristic is adopted to solve the multi-peak and multi-source problem. Simulations results demonstrate that the new approach is reliable for The Advection-Diffusion odor robotic model. Finally, the statistical analysis shows this new approach is technically sound.

Original languageEnglish
Pages (from-to)1187-1196
Number of pages10
JournalWSEAS Transactions on Systems
Volume8
Issue number11
Publication statusPublished - Nov 2009

Keywords

  • Modified niche PSO
  • Multiple odor sources localization

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