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

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.