Localizing multiple odor sources in a dynamic environment based on modified niche particle swarm optimization with flow of wind

Authors:
W. Jatmiko;A. Nugraha;R. Effendi;W. Pambuko;R. Mardian;K. Sekiyama;T. Fukuda
Affiliations:
Faculty Computer Science, University of Indonesia, Depok, West Java, Indonesia;Faculty Computer Science, University of Indonesia, Depok, West Java, Indonesia;Faculty Computer Science, University of Indonesia, Depok, West Java, Indonesia;Faculty Computer Science, University of Indonesia, Depok, West Java, Indonesia;Faculty Computer Science, University of Indonesia, Depok, West Java, Indonesia;Dept. of Micro-Nano Systems Engineering, Nagoya University, Chikusa-ku, Nagoya, Japan;Dept. of Micro-Nano Systems Engineering, Nagoya University, Chikusa-ku, Nagoya, Japan
Venue:
WSEAS TRANSACTIONS on SYSTEMS
Year:
2009

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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.