Ranged Subgroup Particle Swarm Optimization for Localizing Multiple Odor Sources

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 or parallel search characteristic is adopted on MPSO to solve the multi...

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Veröffentlicht in:	International journal on smart sensing and intelligent systems 2010-01, Vol.3 (3), p.411-442
Hauptverfasser:	Jatmiko, W., Pambuko, W., Febrian, A., Mursanto, P., Muis, A., Kusumoputro, B., Sekiyama, K., Fukuda, T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Concentration gradient Modified Particle Swarm Optimization Multiple Odor Sources Localization Odors Open Dynamic Engine Parallel Search Particle swarm optimization Real Life Scenario Robots Subgroup Subgroups Wind speed
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